Title :
An engineering basis for statistical lifetime models with an application to tribology
Author :
Chick, Stephen E. ; Mendel, Max B.
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
fDate :
6/1/1996 12:00:00 AM
Abstract :
The authors propose a method for incorporating engineering information about failure mechanisms into a statistical lifetime model. The central idea is that wear, stress, and strain are more directly related to failure than is component age. With an application to tribology, they use the method to derive a lifetime model which explicitly uses information about wear. The model is contrasted with the more common technique of fitting the parameters of a statistical distribution. A primary benefit of an engineering-based model is its interpretability for connecting lifetime data for similar components used under differing operating conditions, such as during accelerated lifetime testing
Keywords :
deformation; engineering; failure analysis; reliability theory; statistical analysis; wear; accelerated lifetime testing; engineering information; failure mechanisms; operating conditions; statistical distribution; statistical lifetime models; strain; stress; tribology; wear; Capacitive sensors; Cutting tools; Data engineering; Failure analysis; Fatigue; Fitting; Hazards; Life estimation; Life testing; Tribology;
Journal_Title :
Reliability, IEEE Transactions on