期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：45
期号：1
页码：173-277
出版社：Journal of Theoretical and Applied
摘要：With the development of Computer technology, data fusion and artificial intelligence theories, there are many new solutions for motor fault diagnosis. In terms of the motor fault characteristics, integrated diagnosis is implemented to solve this problem in this article, which adopts an improved genetic algorithm and optimizing neural network methods. That diagnosis method can not only reduce the difficulty of fusion system optimization, but also simulate the effect between different faults in coupling fault mode and achieve a precise diagnosis result. The research of the motor fault monitoring and diagnosis technology with this new method has the important theoretical value and engineering practical significance.
