计算机与数字工程2019，Vol.47Issue(10)：2622-2626,5.DOI:10.3969/j.issn.1672-9722.2019.10.047
信号特征提取方法在球磨机故障诊断中的应用∗
Application of Signal Feature Extraction Method in Ball Mill Fault Diagnosis
李名莉 1焦欣欣1
作者信息
- 1. 河南工业职业技术学院机电自动化学院 南阳 473000
- 折叠
摘要
Abstract
Ball mill running field is complex,for ball mill fault monitoring and diagnosis,wavelet decomposition and Hilbert wavelet envelope spectrum analysis are applied in the study of the ball mill fault signal,the frequency corresponding is found out to the singularity pointand diagnose the fault location. Finally,through the calculation of eigenvector and Euclidean distance,the effec?tiveness of the method is proved.关键词
故障诊断/小波分解/Hilbert小波包络谱/特征向量/欧氏距离Key words
fault diagnosis/wavelet decomposition/Hilbert wavelet envelope spectrum/eigenvector/Euclidean distance分类
信息技术与安全科学引用本文复制引用
李名莉,焦欣欣..信号特征提取方法在球磨机故障诊断中的应用∗[J].计算机与数字工程,2019,47(10):2622-2626,5.
