Title :
The following up failure rate of diesel engine: Bayesian approach
Author :
Mustapha, Hamerlain ; Faycal, El Emida
Author_Institution :
Unite d´´Affaire Maintenance Industrielle, SNCFT, Tunis, Tunisia
Abstract :
In this paper, we propose to apply the dynamic Bayes approach, to optimise the maintenance program for locomotive diesel engines of the SNCFT company. This approach is based on subjective probability. It permits us to follow the evolution of the failing average rate and in particular to deduce ageing phenomena to supervise the work safety, availability and reliability.
Keywords :
Bayes methods; ageing; failure analysis; internal combustion engines; maintenance engineering; maximum likelihood estimation; reliability theory; safety; Bayesian approach; SNCFT company; ageing phenomena; availability; diesel engine; dynamic Bayes approach; following up failure rate; locomotive diesel engines; maintenance program optimisation; maximum likelihood estimation; reliability; subjective probability; working safety parameters; Aging; Availability; Bayesian methods; Diesel engines; Engine cylinders; Maintenance; Materials reliability; Power system reliability; Probability; Safety;
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
Print_ISBN :
0-7803-7437-1
DOI :
10.1109/ICSMC.2002.1175664
