Intelligent diagnosis methods for plant machinery

2010年第5卷第1期

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《机械工程前沿（英文）》 >> 2010年第5卷第1期 doi: 10.1007/s11465-009-0084-z

Intelligent diagnosis methods for plant machinery

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;

发布日期： 2010-03-05

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摘要

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.

关键词

intelligent diagnosis ; neural network ; fuzzy algorithm ; adaptive filtering ; plant machinery