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| 基于SVD方法的弱故障特征提取方法 | |
| 引用本文： | 张克南,陆扬,谢里阳,郑进文,万年红.基于SVD方法的弱故障特征提取方法[J].机床与液压,2006(10):214-216,246. |
| 作者姓名： | 张克南 陆扬 谢里阳 郑进文 万年红 |
| 作者单位： | 1. 东北大学机械工程与自动化学院,沈阳,110004 2. 西安交通大学机械工程学院,西安,710049 3. 上海宝钢工业检测公司,上海,201900 |
| 摘 要： | 利用电流法诊断电机及其拖动设备故障时，较弱的故障特征频率分量往往被电网工频所淹没。本文运用了一种有效的弱故障特征提取方法，即通过奇异值分解（singular value decomposition，简称SVD）方法剔除电网工频主分量，从而对信号中的弱特征频率、特别是靠近电网工频的特征频率实现有效地提取。数值仿真计算和现场实际信号的应用结果都表明，应用SVD方法可以非常有效地达到这一目的。 |
| 关 键 词： | 电流法 奇异值分解 故障诊断 电网频率 |
| 文章编号： | 1001-3881（2006）10-214-3 |
| 收稿时间： | 2006-09-14 |
| 修稿时间： | 2006-09-14 |
A New Method for Extracting the Weak Fault Symptoms of Current Signal via SVD |
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| ZHANG Kenan,LU Yang,XIE Liyang,ZHENG Jinwen,WAN Nianhong.A New Method for Extracting the Weak Fault Symptoms of Current Signal via SVD[J].Machine Tool & Hydraulics,2006(10):214-216,246. | |
| Authors: | ZHANG Kenan LU Yang XIE Liyang ZHENG Jinwen WAN Nianhong |
| Abstract: | While using MCSA(motor current signal analysis) to diagnose the mechanical faults,the weak fault symptoms are often submerged by power frequency.A new method for extracting the weak fault symptoms of current signal in the case of current diagnosis was presented.By means of SVD(singular value decomposition) method,the power frequency was effectively eliminated meanwhile the weak features were effectively extracted.The computer simulation and a practical application were described,which indicates SVD method can eliminate the power frequency and extract the weak fault symptoms very effectively. |
| Keywords: | Motor current signal analysis Singular value decomposition Fault diagnosis Power frequency |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |