Journal of Changshu Institute of Technology2024，Vol.38Issue(2)：25-30,85,7.
基于声振信号的电机故障诊断方法
Motor Fault Diagnosis Method Based on Acoustic Vibration Signal
孙翊云 1贺笑 2丑永新2
作者信息
- 1. 常熟理工学院电气与自动化工程学院,江苏常熟 215500||盐城工学院电气工程学院,江苏盐城 224051
- 2. 盐城工学院电气工程学院,江苏盐城 224051
- 折叠
摘要
Abstract
Abnormal noises generated by motors during normal operation often indicate potential faults or sub-optimal working conditions. In this study, we propose a method for detecting abnormal motor noise based on vibration signal analysis. The method involves collecting vibration signal data from the motor during operation through the introduction of devices such as acceleration sensors and microphones. The acquired vibration signals undergo signal processing and feature extraction. Subsequently, a classification model is constructed, where the extracted features are trained and classified by using the support vector machine algorithm. The experimental results demonstrate that the proposed method for detecting motor abnormal noise exhibits excellent performance and accuracy. Through extensive testing on actual motor operation data, this method effectively identifies the presence of abnormal noises in the motor and enables early prediction of potential faults.关键词
电机异常噪音/特征提取/支持向量机算法Key words
anomalous motor noise/feature extraction/support vector machine algorithm分类
信息技术与安全科学引用本文复制引用
孙翊云,贺笑,丑永新..基于声振信号的电机故障诊断方法[J].Journal of Changshu Institute of Technology,2024,38(2):25-30,85,7.
