Determining a Suitable Maintenance Measure for Gentelligent Components Using Case-Based Reasoning
Components with sensory properties such as gentelligent components developed at the Collaborative Research Centre 653 offer a new angle in terms of the full utilization of the remaining service life as well as preventive maintenance. The developed methodology of component status driven maintenance analyzes the stress data obtained during the component's useful life and on the basis of this knowledge assesses the type of maintenance required in this case. The procedure is derived from the case-based reasoning method and will be explained in detail. The method's functionality is demonstrated with real-life data obtained during test runs of a racing car prototype.
[1] Madsen, H.O.; Torhaug, R.; Cramer, E.H. (1991): Probability-based cost benefit analysis of fatigue design, inspection and maintenance, Marine Structural Inspection, Maintenance and Monitoring Symposium, Arlington, Virginia, March 18–19 1991, Society of Naval Architects and Marine Engineers.
[2] Strunz, M. (2012): Instandhaltung. Berlin, Heidelberg: Springer Berlin Heidelberg.
[3] van Thiel, B. (2013): Entwicklungeiner Methodikzur Zustandsüberwachung von BauteilenaussensitivenWerkstoffen. Berichteausdem IFA, 1.
[4] Denkena, B.; Henning, H.; Lorenzen, L.-E. (2010): Genetics and intelligence: new approaches in production engineering. Production Engineering, 4-1, p. 65-73.
[5] Lachmayer, R.; Mozgova, I.; Sauthoff, B.; Gottwald, P. (2013): Product Evolution and Optimization based on Gentelligent Components and Product Life Cycle Data. Smart Product Engineering, 23rd CIRP Design Conference, Bochum.
[6] Winkens, M.; Busch, J.; Nyhuis, P. (2013): Method of component-status-driven maintenance for gentelligent components. 19th international conference JAABC - The Journal of American Academy of Business, New York, p. 111-117.
[7] Klose, C.; Demminger, C.; Mroz, G.; Reimche, W.; Bach, Fr.-W.; Maier, H.J.; Kerber, K. (2013): Influence of Cobalt on the Properties of Load-Sensitive Magnesium Alloys. Sensors 2013,13-1, p. 106-118.
[8] van Thiel, B.; Nyhuis, P. (2010): Database for a Gentelligent Maintenance Planning. 15th Annual International Conference on Industrial Engineering - Theory, Applications & Practice, Proceedings of the IJIE.
[9] van Thiel, B.; Winkens, M.; Nyhuis, P. (2012): Forecasting Component Service Life by Gentelligent Components. 1st Joint International Symposium on System-Integrated Intelligence: New Challenges for Product and Production Engineering, Hannover, p. 142-144.
[10] Freudenthaler, B. (2008): Case-based Reasoning (CBR), VDM Verlag Dr. Müller, Saarbrücken.
[11] Küveler, G.; Schwoch, D.(1999): InformatikfürIngenieure. 2. Aufl., ViewegVerlag, Braunschweig.
[1] Madsen, H.O.; Torhaug, R.; Cramer, E.H. (1991): Probability-based cost benefit analysis of fatigue design, inspection and maintenance, Marine Structural Inspection, Maintenance and Monitoring Symposium, Arlington, Virginia, March 18–19 1991, Society of Naval Architects and Marine Engineers.
[2] Strunz, M. (2012): Instandhaltung. Berlin, Heidelberg: Springer Berlin Heidelberg.
[3] van Thiel, B. (2013): Entwicklungeiner Methodikzur Zustandsüberwachung von BauteilenaussensitivenWerkstoffen. Berichteausdem IFA, 1.
[4] Denkena, B.; Henning, H.; Lorenzen, L.-E. (2010): Genetics and intelligence: new approaches in production engineering. Production Engineering, 4-1, p. 65-73.
[5] Lachmayer, R.; Mozgova, I.; Sauthoff, B.; Gottwald, P. (2013): Product Evolution and Optimization based on Gentelligent Components and Product Life Cycle Data. Smart Product Engineering, 23rd CIRP Design Conference, Bochum.
[6] Winkens, M.; Busch, J.; Nyhuis, P. (2013): Method of component-status-driven maintenance for gentelligent components. 19th international conference JAABC - The Journal of American Academy of Business, New York, p. 111-117.
[7] Klose, C.; Demminger, C.; Mroz, G.; Reimche, W.; Bach, Fr.-W.; Maier, H.J.; Kerber, K. (2013): Influence of Cobalt on the Properties of Load-Sensitive Magnesium Alloys. Sensors 2013,13-1, p. 106-118.
[8] van Thiel, B.; Nyhuis, P. (2010): Database for a Gentelligent Maintenance Planning. 15th Annual International Conference on Industrial Engineering - Theory, Applications & Practice, Proceedings of the IJIE.
[9] van Thiel, B.; Winkens, M.; Nyhuis, P. (2012): Forecasting Component Service Life by Gentelligent Components. 1st Joint International Symposium on System-Integrated Intelligence: New Challenges for Product and Production Engineering, Hannover, p. 142-144.
[10] Freudenthaler, B. (2008): Case-based Reasoning (CBR), VDM Verlag Dr. Müller, Saarbrücken.
[11] Küveler, G.; Schwoch, D.(1999): InformatikfürIngenieure. 2. Aufl., ViewegVerlag, Braunschweig.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:68680", author = "M. Winkens and P. Nyhuis", title = "Determining a Suitable Maintenance Measure for Gentelligent Components Using Case-Based Reasoning", abstract = "Components with sensory properties such as gentelligent components developed at the Collaborative Research Centre 653 offer a new angle in terms of the full utilization of the remaining service life as well as preventive maintenance. The developed methodology of component status driven maintenance analyzes the stress data obtained during the component's useful life and on the basis of this knowledge assesses the type of maintenance required in this case. The procedure is derived from the case-based reasoning method and will be explained in detail. The method's functionality is demonstrated with real-life data obtained during test runs of a racing car prototype.
", keywords = "Gentelligent Components, Preventive Maintenance, Case based Reasoning. ", volume = "9", number = "1", pages = "36-4", }
