Title :
Model based statistical change detection for automotive applications
Author :
Hermans, F.J.J. ; Zarrop, M.B.
Author_Institution :
Control Syst. Centre, Univ. of Manchester Inst. of Sci. & Technol., UK
Abstract :
This paper provides a brief introduction to model based statistical change detection. It introduces the concepts of residual generation and statistical evaluation. The power of this approach is then illustrated using two automotive applications: suspension monitoring and engine misfire detection. The difference in the characteristics of these applications indicates that these techniques can be used more widely in automotive monitoring/diagnostic systems
Keywords :
automobiles; fault diagnosis; monitoring; observers; signal detection; state-space methods; statistical analysis; automobiles; diagnostic systems; engine misfire detection; model based statistical change detection; observers; residual generation; state space method; statistical analysis; suspension monitoring; transfer function; Automotive applications; Automotive engineering; Engines; Filters; Mathematical model; Monitoring; Power system modeling; State-space methods; Transfer functions; Vehicle dynamics;
Conference_Titel :
Computer-Aided Control System Design, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-3032-3
DOI :
10.1109/CACSD.1996.555239
