Title :
Reliability assessment of mechatronic systems: operating field data analysis
Author :
Mihalache, Alin ; Guerin, Fabrice ; Barreau, Mihaela ; Todoskoff, Alexis ; Dumon, Bernard
Author_Institution :
Univ. of Angers, France
Abstract :
The reliability analysis of complex mechatronic systems is a very important engineering issue, in order to guarantee their functional behavior. We propose the evaluation of mechatronic systems reliability using censored data for operating field for different technologies, e.g. mechanics, electronics, and software. For ultra reliable system for which we have little data, we use an estimation method, stochastic expectation maximization (SEM), to increase the evaluation accuracy. The SEM method is used to estimate the reliability parameters with better accuracy than with maximization likelihood method.
Keywords :
maximum likelihood estimation; mechatronics; reliability theory; stochastic processes; complex mechatronic systems; estimation method; maximization likelihood method; operating field data analysis; reliability analysis; reliability assessment; reliability estimation; stochastic expectation maximization; Data analysis; Exponential distribution; Fault detection; Mechatronics; Parameter estimation; Process design; Reliability engineering; Software tools; Stochastic systems; Weibull distribution;
Conference_Titel :
Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8662-0
DOI :
10.1109/ICIT.2004.1490218
