The analog circuits fault diagnosis based on fuzzy C-means clustering
Peiyuan Cheng · Movable Power Station & Vehicle · 2008
Theory of fuzzy C-means clustering analysis which is applied to the analog circuits fault diagnosis is introduced.Various types of data samples with tolerance are introduced to the simulation analysis of analog circuit fault,and failure modes are generated by using iterative optimization fuzzy clustering algorithm,then the failure modes are applied to unknown fault circuits.Simulation shows that the method is efficient and accurate.