Approximate multi-state reliability expressions using a new machine learning technique

Approximate Multi-State Reliability Expressions Using a New Machine Learning Technique Claudio M. Rocco S., Marco Muselli a Facultad de Ingeniería, Universidad Central Venezuela, Caracas b Istituto di Elettronica e di Ingegneria dell’Informazione e delle Telecomunicazioni, Consiglio Nazionale delle Ricerche, Genova, Italy a [email protected] b [email protected] The machine-learning-based methodology, previously proposed by the authors for approximating binary reliability expressions, is now extended to develop a new algorithm, based on the procedure of Hamming Clustering, which is capable to deal with multi-state systems and any success criterion. The proposed technique is presented in details and verified on literature cases: experiment results show that the new algorithm yields excellent predictions.