This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Guided Integrated Remote and Workshop Troubleshooting of Heavy Trucks

Journal Article
2014-01-0284
ISSN: 1946-391X, e-ISSN: 1946-3928
Published April 01, 2014 by SAE International in United States
Guided Integrated Remote and Workshop Troubleshooting of Heavy Trucks
Citation: Warnquist, H., Nyberg, M., and Biteus, J., "Guided Integrated Remote and Workshop Troubleshooting of Heavy Trucks," SAE Int. J. Commer. Veh. 7(1):25-36, 2014, https://doi.org/10.4271/2014-01-0284.
Language: English

References

  1. Scania Boosting uptime - Scania Remote Diagnostics 2013 http://newsroom.scania.com/engroup/2013/03/21/boosting-uptime-scania-remote-diagnostics/ 7 Oct. 2013
  2. Scania Scania Fleet Management 2013 http://www.scania.com/products-services/services/fleet_rnanagement/ 07 Oct 2013
  3. Volvo Trucks Remote Diagnostics - Real diagnostics. Real people. Real time 2013 http://www.volvotrucks.com/trucks/na/enus/business_tools/connectedvehicleservices/Pages/default.aspx 7 Oct. 2013
  4. Pearl J. Bayesian Networks: a Model of Self-Activated Memory for Evidential Reasoning UCLA Computer Science Department Technical Report 850021 (R-43) 1985
  5. Huang Y. , McMurran R. , Dhadyalla G. and Jones R. P. Probability based vehicle fault diagnosis: Bayesian network method Journal of Intelligent Manufacturing 19 3 301 311 2008
  6. Nabende P. and Wanyama T. An Expert System for Diagnosing Heavy-Duty Diesel Engine faults Advances in Computer and Information Sciences and Engineering Springer Netherlands 2008 384 389
  7. Przytula , K. and Smith , S. Diagnostic Assistant Based on Graphical Probabilistic Models SAE Technical Paper 2004-01-0680 2004 10.4271/2004-01-0680
  8. Bandini S. , Colombo E. , Frisoni G. , Sartori F. and Svensson J. Case-Based Troubleshooting in the Automotive Context: The SMMART Project Advances in Case-Based Reasoning Springer Berlin Heidelberg 2008 600 614
  9. Bach K. , Althoff K.-D. , Newo R. and Stahl A. A case-based reasoning approach for providing machine diagnosis from service reports Case-Based Reasoning Research and Development Springer 2011 363 377
  10. Funk P. and Olsson T. Case-based reasoning combined with statistics for diagnostics and prognosis Journal of Physics: Conference Series 364 1 2012
  11. Müller , T. , Krieger , O. , Breuer , A. , Lange , K. et al. A Heuristic Approach for Offboard-Diagnostics in Advanced Automotive Systems SAE Int. J. Passeng. Cars -Electron. Electr. Syst. 2 1 344 351 2009 10.4271/2009-01-1027
  12. Yang B.-S. , Han T. and Kim Y.-S. Integration of ART-Kohonen neural network and case-based reasoning for intelligent fault diagnosis Expert Systems with Applications 26 3 387 395 2004
  13. Kreichgauer G. and Waloszek U. User-Centered Evaluation of the Responsiveness of Applications Human-Computer Interaction - INTERACT 2009 2009
  14. Bellman R. Dynamic Programming Princeton, New Jersey Princeton University Press 1957
  15. Decision Systems Laboratory, University of Pittsburgh GeNIe & SMILE http://genie.sis.pitt.edu/ 7 Oct. 2013
  16. Henley E. and Kumamoto H. Reliability engineering and risk assessment Prentice-Hall 1981
  17. Pearl J. Probabilistic reasoning in intelligent systems: networks of plausible inference San Fransisco Morgan Kaufmann 1988
  18. Koller D. and Pfeffer A. Object-oriented Bayesian networks Proceedings of the Thirteenth conference on Uncertainty in Artificial Intelligence Providence, Rhode Island 1997
  19. Gustavsson A. och Wassberg S. En modell för uppskattningen av den ekonomiska effekten av oplanerade stillestånd i den svenska åkeribranchen Master thesis Linköping University Electronic Press Linköping 2013
  20. Langseth H. och Jensen F. V. Decision theoretic troubleshooting of coherent systems Reliability Engineering & System Safety 80 1 49 62 2003
  21. Heckerman D. , Breese J. S. and Rommelse K. Decision-theoretic troubleshooting Communications of ACM 38 3 49 57 1995
  22. Pearl J. Causality: Models, Reasoning, and Inference Cambridge Cambridge University Press 2000
  23. Coope G. F. The computational complexity of probabilistic inference using bayesian belief networks Artificial Intelligence 42 2-3 393 405 1990
  24. Kushner H. and Kleinman A. Accelerated procedures for the solution of discrete Markov control problems IEEE Transactions on Automatic Control 16 2 147 152 1971

Cited By