A general enhancement method for test strategy generation for the sequential fault diagnosis of complex systems

• Published in: Reliability engineering & system safety Vol. 228; p. 108754
• Main Authors: Wang, Jingyuan, Liu, Zhen, Wang, Jiahong, Long, Bing, Zhou, Xiuyun
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.12.2022; Elsevier BV
• Subjects: Algorithms; Classification; Clustering; Complex systems; Error estimation; Fault diagnosis; Monte Carlo simulation; Multi-signal flow graph model; Parameter modification; Reliability engineering; Safety equipment; Test procedures; Test sequence generation; Testability; Test sequence generation; Error estimation; Clustering; Classification; Multi-signal flow graph model

•We present a general enhancement method that is suitable for most existing test strategy generation algorithms based on a multi-signal model.•The performance of the test strategy generation of each algorithm is improved after enhancement.•Using SVM and ECA*, the dimension of the dependency matrix c...