Status Quo and Development of Intelligent Diagnostic Techniques for Mechanical Equipment Faults
Main intelligent diagnostic theories and methods for mechanical equipment faults are summarized and classified. The paper introduces the concepts, characteristics, principles, defects, main improvement and typical applications of intelligent diagnostic methods including method based on fuzzy theory, artificial neural network, method, gray system theory, SVM (support vector machine) and integration techniques. It points out that the important developing trend of intelligent diagnostic techniques for mechanical system faults in the future is integrated intelligent diagnostic techniques by integrating modern technologies and different diagnostic methods.
国家科技期刊平台
NSTL
万方数据
维普
