机械与电子2024，Vol.42Issue(6)：32-37,6.
基于多源传感的智能双馈风机机械振动故障监测方法
Mechanical Vibration Fault Monitoring Method of Intelligent Doubly-fed Fan Based on Multi-source Sensing
谭振国 1曾佳佳 2牛国智 3邓睿 2刘旭东2
作者信息
- 1. 五凌电力有限公司长沙生产运营中心,湖南长沙 410004
- 2. 五凌电力有限公司长沙生产运营中心生产技术部,湖南长沙 410004
- 3. 五凌电力有限公司新能源分公司,湖南长沙 410004
- 折叠
摘要
Abstract
Aiming at the problems of low signal-to-noise ratio,poor fault monitoring classification and long time in the mechanical vibration fault monitoring of doubly fed fans,a method for monitoring the mechanical vibration fault of the intelligent DFIG based on multi-source sensing is proposed.Firstly,in-formation entropy is used to measure the change of the vibration signal of the intelligent doubly-fed fan,the information entropy characteristics of the signal in the time-frequency domain are obtained,and the information characteristics of multi-source sensor signals are fused;then a global search factor is intro-duced to improve the artificial bee colony method,and the support vector machine is optimized by the im-proved artificial bee colony method;finally,the extracted and fused vibration signal features are input into the trained support vector machine to complete the mechanical vibration fault monitoring of the intelligent doubly-fed fan.The experimental results show that the proposed method has good denoising effect and fault monitoring classification effect,and the monitoring time is short.关键词
多源传感/智能双馈风机/机械振动故障/故障监测/支持向量机Key words
multi-source sensing/intelligent doubly-fed fan/mechanical vibration fault/fault monito-ring/support vector machine分类
信息技术与安全科学引用本文复制引用
谭振国,曾佳佳,牛国智,邓睿,刘旭东..基于多源传感的智能双馈风机机械振动故障监测方法[J].机械与电子,2024,42(6):32-37,6.
