This paper outlines the fundamentals of system monitoring for life time prediction in vehicles. The vision of 'Car Health Management' is introduced. The particular example of oil condition monitoring is chosen to outline the concept of predictive maintenance. Technological challenges encountered with this new philosophy are discussed. Life time prediction is key for new automobile monitoring systems since it has tremendous impact on customer satisfaction, profitability and brand. The paper first describes the vision of car health management and in particular the concept of predictive maintenance. Important aspects of sensor hardware and analysis software requirements derived from this concept are outlined. Second, fluid condition monitoring is explained as a specific example for predictive maintenance. Oil sensing in particular has direct impact on maintenance cost, vehicle lifetime and emissions of the vehicle. Finally, the presentation of an autonomous oil sensor shows the continued effort to find new solutions for applications where sensor accessibility by cables is not given and where flexibility in mounting the sensor has to be improved. The feasibility of an autonomous oil sensor has been demonstrated first during AMAA in 2004. New results were achieved by optimizing the thermoelectric generator and improving energy management. Several approaches for using autonomous microsystems for condition monitoring were reported in the literature.
System monitoring for lifetime prediction in automotive industry
Systemüberwachung für die Lebensdauerprädiktion in der Automobilindustrie
2005
10 Seiten, 7 Bilder, 1 Tabelle, 8 Quellen
Aufsatz (Konferenz)
Englisch
System Monitoring for Lifetime Prediction in Automotive Industry
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