Intelligent diagnosis methods for plant machinery |
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Authors: | Huaqing Wang Peng Chen and Shuming Wang |
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Affiliation: | (1) Graduate School of Bioresources, Mie University, 1577 Kurimamachiya-cho, Tsu Mie, 5148507, Japan;(2) School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, 15 BeiSanhuan East Road, 100029 Beijing, ChaoYang District, China |
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Abstract: | This paper reports several intelligent diagnostic approaches based on artificial neural network and fuzzy algorithm for plant
machinery, such as the diagnosis method using the wavelet transform, rough sets, and fuzzy neural network; the diagnosis method
based on the sequential inference and fuzzy neural network; the diagnosis approach by the possibility theory and certainty
factor model; and the diagnosis method on the basis of the adaptive filtering technique and fuzzy neural network. These intelligent
diagnostic methods have been successfully applied to condition diagnosis in different types of practical plant machinery. |
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Keywords: | |
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