Machine-fault classification: A fuzzy-set approach |
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| Authors: | L Zeng H P Wang |
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| Affiliation: | (1) School of Computer Science, Rochester Institute of Technology, 14623 Rochester, NY, USA;(2) Department of Industrial Engineering, State University of New York at Buffalo, 14260, NY, Buffalo, USA |
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| Abstract: | This is an experimental study to investigate the feasibility of employing fuzzysets theory in an integrated machine-fault
diagnostic system. This system consists of modules for data acquisition, data processing, features extraction, fault clustering
and fault assignment. Among these tasks, fault clustering and fault assignment are accomplished using fuzzy-sets-based procedures.
The theoretical foundation of this study is discussed, with case studies. |
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| Keywords: | Fuzzy-set Machine fault diagnosis Fault classification Frequency analysis |
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