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Intelligent diagnosis methods for plant machinery |
| Huaqing WANG1,Peng CHEN2,Shuming WANG3, |
| 1.Diagnosis and Self-recovery
Engineering Research Center, Beijing University of Chemical Technology,
Beijing 100029, China; 2.Graduate School of Bioresources,
Mie University, Mie 514–8507, Japan; 3.College of Mechanical
Engineering, Jiamusi University, Jiamusi 154007, 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
intelligent diagnosis
neural network
fuzzy algorithm
adaptive filtering
plant machinery
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Issue Date: 05 March 2010
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