Reverse Engineering Technologies for Remanufacturing of Automotive Systems Communicating via CAN Bus
© Freiberger et al; licensee Springer. 2011
Received: 30 November 2010
Accepted: 7 December 2011
Published: 7 December 2011
Nowadays, as mechatronic and electronic systems have found their way into vehicles, the technological knowledgebase of traditional remanufacturing companies erodes rapidly and even the industrial principle of remanufacturing is at risk. Due to the fact that modern cars incorporate up to 80 of these mechatronic and electronic systems that are communicating with each other e.g. via the vehicle controller area network (CAN), remanufacturing of these automotive systems requires innovative reverse engineering knowhow, methodological innovations and new technologies, especially focusing on the tasks testing and diagnostics of systems and their subassemblies. The European research project "CAN REMAN", conducted by Bayreuth University in cooperation with two other universities and eight industrial partners, focuses on these needs in order to enable companies to remanufacture modern automotive mechatronics and electronics with innovative reverse engineering skills as well as to develop appropriate and affordable testing and diagnostics technologies.
In order to operate and test the mechatronic device with CAN interface outside the vehicle environment, an appropriate simulation of the vehicle network and all connected sensors of the device under test (DUT) is essential. This implies an electrical analysis of the connectors of the DUT, a content-related analysis of the CAN-bus, a sensor hardware simulation and a CAN-bus simulation.
All electrical measurements and results were taken using conventional multimeters or oscilloscopes. The CAN-bus analysis and simulations were conducted using the Vector Informatics software tool "CANoe" (Version 7.1) and a suitable CAN-bus hardware, e.g. the CANcardXL and the IOcab8444opto. All hardware simulations were executed with a conventional wave form generator or a microcontroller evaluation board (Olimex AVR-CAN) and an appropriate electric setup.
In order to initially readout the failure memory and to investigate the diagnostic communication of the DUT, garage testers such as "Bosch KTS 650" or "Rosstech VAG-COM" were used.
The results of the project are application-orientated methods, test benches and skills for remanufacturing companies to find out the working principles of the CAN-bus communication between automotive mechatronic and electronic systems within vehicles.
The knowhow presented in this article enables remanufacturing companies to remanufacture modern automotive mechatronic and electronic systems which are communicating via the CAN-bus and similar communication types.
KeywordsRemanufacturing Mechatronics Electronics CAN-bus Reverse Engineering Testing Diagnosis Vehicle Network Topology
Raising requirements on occupant safety and comfort on the one hand and the introduction of new emission regulations on the other hand, forces the automotive manufacturers to enhance their products continuously. In order to achieve these improvements, electronic systems, based on microcontrollers, have found their way into modern cars and they contributed considerably to many new advantages in terms of safety and comfort such as Electronic Stability Program (ESP), Anti-lock Brake System (ABS), Parking Assist System (PAS), Electro Hydraulic Power Steering (EHPS) or Electro Assisted Steering (EAS). Nevertheless, the new trend of modernization has an immense impact on the remanufacturing business. It can be seen that new branches in electronic remanufacturing arise. In contrast to that, the knowhow of traditional remanufacturing companies has eroded rapidly and even the industrial principle of remanufacturing is at risk . Due to the fact that modern cars incorporate up to 80 of these mechatronic and electronic systems that are communicating with each other e.g. via the CAN-bus, remanufacturing of these automotive systems requires innovative reverse engineering knowhow, methodological innovations and new technologies especially focussing on the tasks testing and diagnostics of systems and their subassemblies. Since, traditional remanufacturing companies do not have much capacity to build up the appropriate knowhow, the Chair of Manufacturing and Remanufacturing Technologies at Bayreuth University assists these companies in reverse engineering, as well as finding new methodologies and technologies for remanufacturing [2, 3].
In the following chapters, reverse engineering methodologies, technologies and results for automotive components will be presented on the example of an EHPS pump. The results have been obtained within the European research project "CAN REMAN" which is conducted by Bayreuth University, Linköping University (Sweden), the University of Applied Sciences Coburg, Fraunhofer Project Group Process Innovation and eight industrial partners. The target of this project is to enable independent aftermarket (IAM) companies to remanufacture modern automotive mechatronics and electronics with innovative reverse engineering skills as well as to develop appropriate and affordable testing and diagnostics technologies . The described, close to industry results, will contribute to the remanufacturing research theory by the upcoming PhD-thesis of engineers of the Chair of Manufacturing and Remanufacturing Technology.
2. Automotive Mechatronics Change Today's Remanufacturing
The term "mechatronics" was formulated in 1969 in Japan and it is an artifice that describes a system which combines mechanics, electronics and information technologies. A typical mechatronic system gathers data, processes the information and outputs signals that are for instance converted into forces or movements .
2.1. Technological Change of Vehicles
But if we take a closer look, nowadays modern vehicles resemble more or less a distributed system. Several embedded computers - often referred to electronic control units (ECUs) - communicate, share information and verify each other over the vehicle network. One of the commonly used communication networks in vehicles is the CAN-bus. Within this network structure, each control unit has at least one unique identifier (ID) on which it broadcasts messages that again incorporate different signals and information . Easily speaking, in case of a missing or faulty participant in the network, all other controllers will notice the participant as they have a lack of information. The lack of information or errors on the CAN-bus can force other systems to operate in a "safe mode" or cause that these systems never start their operation. In reverse, a controller not connected to the specific vehicle network will not start its regular operation patterns.
2.2. Difficulties for Remanufacturers
As stated before, the introduction of electronic networks into modern cars entails enormous problems for remanufacturers. Modern electronic and mechatronic vehicle components cannot be tested as easily as traditional electrical and mechanical ones [7–9]. While it was usually sufficient to link electrical systems to the power supply (battery), modern mechatronic and electronic systems gather a lot of information from the vehicle environment and driving conditions using plenty of sensors and the CAN-bus network of the vehicle. As a consequence, connecting all sensors and the power plug to the DUT is insufficient unless the device is connected to the network of a real car or an adequate simulation of the communication in the vehicle.
Following these statements, the key for successful remanufacturing and testing of a certain automotive system lies in the simulation of the complete network communication in the vehicle. In each case, the car matrix (CAN database) of the specific vehicle model is required to build a simulation of the CAN communication in a vehicle. However, the OEMs will not release any information on the communication parameters to non-OEs and therefore they will not support the independent remanufacturing business. As a consequence, the independent remanufactures - onto which this paper focuses - have to do a lot of reverse engineering themselves or in cooperation with others in order to design their remanufacturing process chain and to come up with test solutions to ensure the quality of their products [10–12]. These reverse engineering activities focus on the system, its components, the system behavior in the vehicle and the vehicle CAN-bus communication.
2.3. The Remanufacturing Process Chain for Automotive Mechatronics
In the initial entrance diagnostics of the system to be remanufactured all communication patterns have to be reverse engineered in order to simulate the vehicle network and get access to the fault memory of the system. An appropriate vehicle network simulation will also prevent new fault memory records to be stored in the DUT.
3. Reverse Engineering an Automotive Mechatronic System
The term "reverse engineering" has its origin in the mechanical engineering and describes in its original meaning the analysis of hardware by somebody else than the developer of a certain product and without the benefit of the original documentation or drawings. However, reverse engineering was usually applied to enhance your own products or to analyze the competitor's products . According to Cifuentes and Fitzgerald (2000), an analog term is "reengineering" (of software) which does not refer to the process of analyzing software only, but which also intends to translate software into a new form, either at the same or a higher level of abstraction. In addition to this, the two authors summarize the different types of software reverse engineering. It can be differentiated between black and white box reverse engineering. While black box reverse engineering only looks at the behavior of a program and its documentation (if it's available) without examination of the internals of the program, white box reverse engineering involves looking at the internals of a program so that its working can be understood .
Chikovsky and Cross (1990) describe reverse engineering in the context with software development and the software life cycle as an analysis process of a system, in order to identify the system (sub-) components, to investigate their interaction and to represent the system at a higher level of abstraction . In this context, they also clarifie the terms "redocumentation" and "design recovery".
"Redocumentation" is the generation or revision of a semantically equivalent description at the same abstraction level. This means, that the results are an alternative representation form for an existing system description. However, redocumentation is often used in the context of recovering "lost" information .
The term "design recovery" defines a subset of reverse engineering that includes domain knowledge, external information (of third parties) and conclusions additionally to the original observations and analyses in order derive meaningful abstractions of the system at a higher level .
Coping with the system complexity
Generation of alternative views
Recovery of lost information
Detection of side effects
Synthesis of higher abstractions
Facilitation of reuse
These targets, that have originally been defined for software reverse engineering, can also be transferred to a certain extent to the reverse engineering of automotive mechatronic systems and hence to the remanufacturing of these systems.
First, remanufacturers will have to cope with the complexity of mechatronic systems as stated before. "Cope" means in this context, that it must be possible to operate an automotive mechatronic system independently from its original environment (the vehicle).
Second, universal taxonomies have to be detected in order to transfer the gained knowledge to similar mechatronic systems or to other variants of the system. Especially the high degree of variation of similarly looking mechatronic systems and control units makes it difficult for the remanufacturers to manage the complexity of automotive components that usually differ by a slight detail .
Third, recovery of missing, rather than lost, information will be one of the most important aspects for the remanufacturing.
The following chapter demonstrates how a reverse engineering analysis can be conducted for an automotive mechatronic system.
4. Analyzing an Automotive System in Five Steps
After a reference system (a reference system in this case is a commonly used automotive subsystem; for example an electro-hydraulic power steering pump) for the analysis has been chosen it is necessary to procure at least one, ideally brand-new, system to grant correct functionality, for all following investigations. In order to analyze the system in its normal working environment, the original vehicle, in which the reference system commonly is built in, should be procured as well.
This investment might be unavoidable, because a mechatronic system communicating via CAN, detached from all other vehicle communication will not work anyway, because essential input information, transmitted via CAN, is missing otherwise (refer to chapter 2). In this case it is very difficult to understand the ECU communication and put up the system into operation isolated from the vehicle.
A cheaper way to investigate the communication between vehicle and reference system is to create a CAN recording using a software tool such as "CANoe" from Vector Informatics. This tool allows easily recording of the complete vehicle communication for instance while doing a test drive with a vehicle that may be available only once. But this procedure requires careful planning prior the test drive is carried out, in order to record every driving condition which is needed for further analyses without having the vehicle available.
Whatever strategy is chosen, it is essential to figure out which input information (CAN data) is necessary to start, operate and control the system.
The following subsections will describe the five most important steps of the analysis process more in detail.
4.1. Electrical Wiring
After having obtained a reference system, it is essential to know the pinout of all connectors of the system. Therefore, the very first step is to find out which pin belongs to which wire and signal.
First of all, the power connector (ground and positive terminal), including ignition, must be identified. One opportunity to obtain this information is the utilization of wiring diagrams or similar credentials. If such documents are not available, for example a visual inspection of the connectors and wire harness in the vehicle or continuity measurements can be beneficial.
Afterwards, it is indispensible to identify the CAN connection pins. These can easily be recognized by inspecting the cable harness (in most cases two twisted wires, but single wire CAN connection is possible, too) or by measuring a terminating impedance of 60 Ω between to cables.
Finally, all connectors for sensors and actuators (auxiliary power and sensor/actuator signal) must be known as well to go further in the analysis process.
4.2. Vehicle Network Topology
The investigation of the structure of all bus systems in the vehicle is placed in front of the proper CAN-bus analysis step. It is necessary to determine how many (CAN-bus) networks are established and in which network the reference system is located. Additionally, the network speed, the presence of a separate diagnosis network (e.g. K-Line), and all ECUs of the specific networks must be found out, especially those ECUs that provide essential input as mentioned before. Furthermore, possible gateway ECUs, which are linking different networks, should be identified.
A feasible solution to gain this information can be for example a web inquiry, documents from the manufacturer of the vehicle or the system, third party documents or technical journals (e.g. ATZ, MTZ ...).
4.3. CAN Bus Communication
The assignment of CAN ID and the associated ECU is more difficult. In the following, two options are described in detail.
One possibility to gather this information is to record the CAN communication initially with all ECUs connected to the bus using CANoe. Afterwards, each ECU is disconnected from the bus one after another and a CAN trace is stored again. Next, all recordings are compared to each other. Those IDs that are missing in the recording can be assigned to the disconnected ECU.
By this means, it is now possible to detect the messages on the bus as well as the transmit direction - receive or transmit. This step is repeated for each ECU which provides relevant input data for the reference system. Obviously, the time exposure for this kind of CAN-bus analysis is much higher due to fact that the gateway has to be placed in between every ECU which is connected to the CAN network. The higher the complexity level of the reference system (more inputs), the more time is needed to identify all ECU messages which transmit relevant data via CAN.
The second way is more satisfying, although it may be more time-consuming than the first one. The first option offers a good overview of all CAN messages and its original ECU, but it may be fault-prone and incomplete. No matter which way is chosen, the result is a complete CAN message structure. Both ways are targeting.
But not all identified messages are relevant for the DUT. Some are not recognized by the DUT and can be disregarded for further investigations. By adding filters for single messages in the gateway CAPL program or simply disconnecting whole ECUs from the network, an empty fault memory of the DUT will reveal unnecessary messages/ECUs and hence reduce data complexity. Hereby, an external garage tester can be used in most cases in order to readout the fault memory and in order to determine whether a failure was caused by removing certain data information.
After having identified the relevant CAN messages, it is inevitable to examine the message data bytes in detail to determine the physical signals. This can be achieved by generating physical inputs manually (e.g. open the throttle, drive, break ...) and observe the particular CAN messages as well as its bytes in parallel. After that, a correlation between a CAN message, its CAN data and a physical input value can be established.
Having performed the steps above, it is possible to setup the desired restbus simulation for the reference system.
Besides the CAN data, analog inputs of sensors and analog outputs of actuators are important in order to ensure correct functionality of the reference system. Therefore, each sensor and nearly each actuator has to be analyzed and simulated, too.
Pulse width/duty cycle
Multi-staged (different scaled)
Multi-staged (equidistant) → digital
For the simulation, the measured values must be interpreted and emulated. For example, the internal resistance of a sensor (load) can be calculated from the sensor current consumption. Afterwards, the presence of the sensor can be simulated using a (simple) resistor.
The simulation of the sensor signal can be realized using a waveform generator, an analog circuit, a microcontroller or a combination of them, depending on the signal characteristics.
Finally, to test the reference system completely detached from the vehicle, it is necessary to know how the diagnosis communication works in order to check the fault memory and to read internal sensor information of the ECU (e.g. for temperature).
First, the applied protocols for transport and application layer must be identified. Often, standardized communication protocols for ECU diagnostics are used (e.g. ISO TP, KWP2000 or UDS). In some cases OEMs use proprietary self-developed keyword protocols (e.g. KWP1281). Thus, it is more difficult to establish a diagnosis connection to the reference system because the protocol specification is unknown to the remanufacturer. Hence, a detailed analysis of the CAN or K-Line communication during a diagnosis session is essential. Sophisticated reverse engineering capabilities are necessary in order to analyze, understand and recreate such a diagnosis communication. The message IDs, used for the communication, must be investigated independently by observing the diagnosis communication with CANoe. If the CAN IDs and protocols are known, the diagnose communication can be reproduced for example in CANoe using the CAPL environment.
After a remanufacturing company has accomplished all mentioned steps for the reference system, it is able to operate this system detached from all analog (sensor signals) or digital (CAN) inputs.
Finally, a test bench can be developed for entrance and final testing in series production scale.
5. Example: Remanufacturing of an Electro Hydraulic Power Steering (EHPS) Pump
An electro hydraulic power steering pump is a rotating oil pump driven by an electro motor. The pump converts electric power to hydraulic power. The hydraulic power is used to reduce the force the driver needs to steer the car. Most steering assistance is needed at low driving speeds, maybe for parking, which makes it necessary that the EHPS pump has information about the actual driving speed. That information is communicated via CAN-Bus.
5.1. Physical Analysis and Electrical Wiring of the EHPS
At the beginning, the EHPS has to be perceived as a black box with inputs and outputs. Because of the mechanical design and the general function of a hydraulic power steering, the output can be determined as the flow rate of the fluid . The inputs are composed of an information about the internal combustion engine state (running or not running) and direct or indirect information about the necessary oil flow rate.
5.2. Vehicle Network Topology
Assigning single messages/IDs to ECUs has simply been done by disconnecting single ECUs and locating missing messages/IDs. By a parallel readout of the internal fault memory of the DUT, relevant ECUs or single messages have been found.
5.3. CAN Bus Communication Investigations
This step can always be split into two parts. The first is the analysis of the communication in order to filter out and understand the relevant messages for the EHPS sent by other ECUs. The second is the simulation of the necessary CAN communication, which is called "restbus" in the following.
First, the start signal, transmitted to the EHPS via CAN bus, must be discovered as described in step 2. Therefore, a recording of the in-car CAN communication was made at a stationary test with well defined and reproducible conditions. After that, the recording was replayed to the test device outside the car and it started its operation. Next, CAN messages were successively filtered out until the motor of the test device stopped. Hence, the last filtered message contained some kind of a start signal. Having performed in depth analyses, this signal was identified to be the RPM signal of the internal combustion engine. In order to eliminate or to find other input parameters, the same study was carried out using a recording of a real-road test. It was found that the vehicle speed is another input parameter for the EHPS.
Second, required input parameters were simulated with CANoe. Using a third party diagnosis garage tester (Bosch KTS 650), it was discovered that the fault memory of the external EHPS can only be erased when at least the presence of the missing messages of the in-car communication is simulated, too. This simulation of messages with and without data content is called restbus.
At this point the EHPS can completely be operated outside the car, but with a real steering angle sensor.
5.4. Simulation of Sensors
In order to operate the EHPS in a completely simulated environment, the angular velocity sensor had to be simulated.
5.5. Diagnostic Functions of the Device
Most devices, including the present EHPS, can be diagnosed over CAN-bus with an external diagnosis garage tester. This tester can, as mentioned above, directly communicate with ECUs using a transport and a keyword protocol. The protocols are only partially defined and the communication differs from brand to brand tremendously. Therefore, the most efficient way to understand how e.g. the fault memory can be erased is to erase the fault memory with one of those testers and to try projecting the sequence onto known standards. In the present case, it were the standards KWP1281 and TP1.6. Even though the understanding of the diagnosis communication was very time-consuming, it was possible to erase and read the fault memory, to read the internal sensor data or duty cycles, to parameterize the device for different car models or even to completely reprogram the software.
Finally, all functions were implemented in CANoe using CAPL which can be controlled by a graphical user interface (GUI).
5.6. Operation Range
At last, the correlations between input and output values were determined in detail. For this reason, the input parameters angular velocity, vehicle speed, RPM and the outputted oil flow rate were recorded simultaneously.
5.7. Practicability of the results
For further mechatronic systems an analysis time of 2 days to 2 month is required, depending on the system complexity. To give some examples for the time required: 2 days for example for another EHPS pump in another VW (each model needs new analyses), 5 days for another EHPS pump in different brand, 1 month for an absolutely new mechatronic system with medium complexity and 2 month or longer for a very complex mechatronic system like an automatic gear box. The costs for the analyses are splitted in the fix costs for the hard- and software of about 40.000 Euro and the costs for the employees for the days they work on. The reliability and safety of a remanufactured mechatronic system is in the same level compared with a new system. A mandatory regulation about standardization of the signals would decrease the costs significantly.
A still increasing number of mechatronic and electronic systems is built into today's vehicles. In the future, even more of these systems will be introduced to the cars as a result of increasing demand for comfort, safety and reduced fuel consumption. Remanufacturing of failing mechatronic systems offers a great opportunity for all, the OEMs and OEs which can safe resources and provide spare parts over a long period of time without the demand of long time warehousing; the remanufacturing companies as they can make a growing new business with these systems; and the customers that are benefitting from cheaper, but as good as new, spare parts.
Progress is not possible without its challenges, but it is achievable. The increasing complexity and variety of mechatronic end electronic devices cannot be handled with traditional methodologies. Therefore, remanufacturing companies have to build up new reverse engineering knowhow, find methodological innovations and they need to develop new technologies, especially focusing on the tasks testing and diagnostics of automotive systems and their subassemblies. After having met these challenges, new remanufacturing steps, such as the initial test, can be established and increase the productivity of the remanufacturing businesses e.g. in terms of an automated identification of systems or automated electronic test.
The paper outlines challenges, possible solutions and technological progress for the reverse engineering process of mechatronic automotive systems that are communicating via CAN-bus. In addition to this, the reverse engineering process is demonstrated on the example of an EHPS which is used in a VW Polo. Obviously, it was possible to completely understand the steering system of the VW Polo by reverse engineering. Now, it is possible to run and test the mechatronic system outside the car as well as to adopt the results for remanufacturing the system in series production scale. The same principle can also be applied to further automotive systems, so that everyone wins, regardless of perspective.
Dr.-Ing. Stefan Freiberger
Managing Engineer at:
Chair Manufacturing and Remanufacturing Technology and Fraunhofer Project Group Process Innovation
Chairman of the Mechatronics and Electronics Division of APRA (Automotive Parts Remanufacturers Association)
Consultant in the fields of: Remanufacturing, Material- and Energy Efficiency, Process Innovation in Production, Lean Management and Six Sigma
PhD thesis about: "Prüf- und Diagnosetechnologien zur Refabrikation von mechatronischen Systemen aus Fahrzeugen"; „Test and Diagnosis Technologies for Remanufacturing Automotive Mechatronic Systems".
M.Sc., Dipl.-Ing. (FH) Matthias Albrecht
Engineer and research assistant at
Chair Manufacturing and Remanufacturing Technology and Fraunhofer Project Group Process Innovation
Field of Activity: Research for remanufacturing of mechanical, electronic and mechatronic components.
Development of test and diagnosis methods for coupled mechatronic and electronic systems with CAN-bus. Transfer of developed technologies and test equipment to different systems and implementation of these systems in remanufacturing companies. Development of industrial test equipment for mechatronic and electronic automotive components that is application-orientated and easy-to-use.
Dipl.-Ing. (FH) Josef Käufl
Research Engineer at:
Chair Manufacturing and Remanufacturing Technology and Fraunhofer Project Group Process Innovation
Field of activity: Technologies for remanufacturing of mechanical, electronic and mechatronic components. Development of test and diagnosis methods for coupled mechatronic and electronic systems with CAN-bus. Transfer of developed technologies and test equipment to different systems and implementation of these systems in remanufacturing companies.
List of abbreviations
Anti-lock Breaking System
Automobiltechnische Zeitschrift (title of an automotive and technical journal)
Controller Area Network
CAN Access Programming Language
Current Replacement Value
Device Under Test
Electro Assisted Steering
Electronic Control Unit
Electro Hydraulic Power Steering
Electronic Stability Program
Graphical User Interface
Parking Assist System
Motortechnische Zeitschrift (title of an engine related journal)
Original Equipment Manufacturer
OEM Product-Service Institute
Positive Power Supply
The research project "CAN REMAN" and the activities described in this paper have been financed by the German Federal Government Department for Education and Research (support code 16INE014). Nobody, beyond the mentioned author's, contributed materials essential for the study.
- Freiberger S: Finding profitable products for Remanufacturing. APRA Global Connection, Ausgabe Nr,6 Chantilly 2010.Google Scholar
- Steinhilper R, Rosemann B, Freiberger S: Product and Process Assessment for Remanufacturing of Computer Controlled Automotive Concepts. 13th CIRP International Conference on Life Cycle Engineering, Leuven, Belgium, May 31st - June 2nd 2006.Google Scholar
- Steinhilper R: Automotive Service Engineering and Remanufacturing: New Technologies and Opportunities. 15th CIRP International Conference on Life Cycle Engineering, Sidney, Australia, March 17th - 19th 2008.Google Scholar
- Freiberger S: European Research Project "Major European reman project given the green light" Starts Now. ReMaTecNews 2/2009, RAI Langfords B.V./RAI Publishing House, Amsterdam 2009.Google Scholar
- Roddeck W: Einführung in die Mechatronik. 3rd edition. B.G. Teubner Verlag/GWV Fachverlage GmbH, Wiesbaden, Germany; 2006.Google Scholar
- Zimmermann W, Schmidgall R: Bussysteme in der Fahrzeugtechnik. 3rd edition. Vieweg + Teubner/GWV Fachverlage GmbH, Wiesbaden, Germany; 2008.Google Scholar
- Freiberger S, Steinhilper R, Heinrich A, Brüggemann D: Failure Detection and Isolation through Infrared Thermal Imaging. In ReMaTecNews - Automotive Remanufacturing International. Volume 6. RAI Publishing House, Amsterdam, Dezember; 2006.Google Scholar
- Freiberger S, Steinhilper R, Stöber R, Fischerauer G: How to remanufacture partially documented mechatronic systems. APRA Global Connection, Ausgabe 16, Chantilly 2006.Google Scholar
- Freiberger S: Remanufacturing of Mechatronics and Electronics. APRA Mechatronics and Electronics Division, Harrisburg 2006. [http://www.apra-europe.org]Google Scholar
- Freiberger S, Landenberger D, Wrobel S: FMEA in der Refabrikationsindustrie - Erfassen, bewerten, vermeiden. In Quality Engineering, Ausgabe 04/2006. Konradin Verlag, Leinfelden-Echterdingen; 2006.Google Scholar
- Freiberger S, Rosemann B, Steinhilper R: Design for Recycling and Remanufacturing of Fuel Cells. Proceedings Eco Design 2005: 4th International Symposium on Environmentally Conscious Design and Inverse Manufacturing, Tokyo 12. bis 14 2005.Google Scholar
- Freiberger S, Rosemann B: State of the Art Application and End-of-Life of Fuel Cell Systems. Proceedings 9th International Congress for Battery Recycling, Como, 2. bis 4 2004.Google Scholar
- Johnson MR, Wang MH: Economical evaluation of disassembly operations for recycling, remanufacturing and reuse. International Journal of Production Research 1998,36(12):3227–3252. 10.1080/002075498192049View ArticleGoogle Scholar
- Seliger G, Hentschel C, Wagner M: Disassembly Factories for Recovery of Resources in Product and Material Cycles, pp 56 - 67. In Life-Cycle Modeling for innovative Products and Processes, Proceedings on life-cycle modeling for innovative products and processes, Berlin, Germany, November/December 1995. Edited by: Jansen H, Krause F-L. Chapman & Hall; 1995.Google Scholar
- Seliger G, Grudzien W, Zaidi H: New Methods of Product Data Provision for a simplified Disassembly. Proceedings of the Life Cycle Design 99, Kingston, Kanada 1999.Google Scholar
- Westkämper E, Alting Arndt: Life Cycle Management and Assessment: Approaches and Visions Towards Sustainable Manufacturing. CIRP Annals - Manufacturing Technology 2000,49(2):501–526. 10.1016/S0007-8506(07)63453-2View ArticleGoogle Scholar
- Freiberger S: Selected and Applied Test and Diagnosis Methods for Remanufacturing Automotive Mechatronics and Electronics. In Remanufacturing Automotive Mechatronics and Electronics. Edited by: Fernand J. Weiland, Germany; 2008.Google Scholar
- Chikofsky EJ, Cross JH II: Reverse Engineering and Design Recovery: A Taxonomy. IEEE Software, IEEE Computer Society 1990, 13–17.Google Scholar
- Cifuentes C, Fitzgerald A: The legal status of reverse engineering of computer software. In Anals of Software Engineering. Volume 9. Springer Netherlands; 2000:337–351. 10.1023/A:1018993212326
- Freiberger S: Prüf- und Diagnosetechnologien zur Refabrikation von mechatronischen Systemen aus Fahrzeugen. Dissertation, Reihe: Fortschritt in Konstruktion und Produktion, Band 6, Shaker Verlag, Aachen, März 2007.Google Scholar
- Haumann M, Köhler DCF: Coping with complexity in remanufacturing. Rematec News 9(3):32–33.
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