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
收藏
页码：495 / 498
页数：4
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