Observer-biased bearing condition monitoring: From fault detection to multi-fault classification

Abstract

Bearings are simultaneously a fundamental component and one of the principal causes of failure in rotary machinery. The work focuses on the employment of fuzzy clustering for bearing condition monitoring, i.e., fault detection and classification. The output of a clustering algorithm is a data partition (a set of clusters) which is merely a hypothesis on the… (More)
DOI: 10.1016/j.engappai.2016.01.038

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