A New Method of Machine Fault Detection Based on Machine Learning on Line

被引：0

作者：

Yi, Jiang ^{[1
]}

Lin, Lei ^{[1
]}

机构：

[1] ChengDu Univ, Sch Informat Sci & Engn, Chengdu, Sichuan, Peoples R China

来源：

2018 10TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS (ICCCAS 2018) | 2018年

关键词：

FFT; self-learning evolution; Stochastic noise modulation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The article first analyzes many existing machine running fault diagnosis methods, which may not be good for on-line detection in view of the complexity of the algorithm. At the same time, studies the characteristics of random noise modulation. Then, designs a new on-line self-learning evolutionary fault detection method based on the FFT algorithm. The simulation shows that the method has good detection performance for a weak fault signal.

引用

页码：495 / 498

页数：4

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