學 術 演 講
學 術 演 講
題 目：Ergodicity and Approximation of the Conditional Causation Probability
of Engineering Systems
時 間：民國106年10月30日 (星期一) 下午1：30
In this talk, we report on the ergodicity of and the approach to approximate the conditional causation probabilities and the conditional cause of failure probabilities via finite Markov chains. This is significant because they provide additional important information to the failure distribution of a system. They especially provide information about the reliability for an aged system. Assisted by a fast algorithm, we demonstrate to readers how to obtain the probabilities and verify our theoretical derivations. The paper should be of interest to a broad range of audiences, including academic researchers and reliability system engineers. This work is a continuation of that entitled "Distributions and causation probabilities of multiple-run-rules and their applications in system reliability, quality control and start-up tests" which has already been accepted for publication.