| 电机故障特征提取方法二则 |
| |
| 引用本文： | 姜建国 苏鹏声. 电机故障特征提取方法二则[J]. 中国电机工程学报, 1992, 12(5): 68-72 |
| |
| 作者姓名： | 姜建国 苏鹏声 |
| |
| 作者单位： | 清华大学电气工程及应用电子技术系 100084(姜建国，苏鹏声，邱阿端，汪庆生)，清华大学电气工程及应用电子技术系 100084(杨秉寿) |
| |
| 摘 要： | 本文论述了故障特征提取方法在故障诊断中的地位。提出了基于最优原理的噪声抵消法,介绍了该法在电机故障诊断中的应用实例。本文还介绍了用模式分类方法来处理异步电动机机壳的振动频谱,使判断电动机转子有无偏心的问题变成了一个“两类问题”,从而可以用计算机进行判别。
|
| 关 键 词： | 异步电机 故障 特征提取 |
Two Extraction Approaches of Fault Signature for Electric Machines |
| |
| Jiang Jianguo,Su Pengsheng,Qiu AmiWang Qingsheng,Yang Bingshou Dept. of Electrical Engineering,Tsinghua University. Two Extraction Approaches of Fault Signature for Electric Machines[J]. Proceedings of the CSEE, 1992, 12(5): 68-72 |
| |
| Authors: | Jiang Jianguo Su Pengsheng Qiu AmiWang Qingsheng Yang Bingshou Dept. of Electrical Engineering Tsinghua University |
| |
| Abstract: | The paper expounds that the fault signture extraction plays an important role in the fault diagnosis of electric machine- It presents the noise cancellation method which is based on the optimization theory, and the pattern classification method for diagnosing the airgap eccentricity of induction motor- The later makes the identification of electric machine rotor eccentricity be a "two class problem"- The examples in the paper show that some faults diagnosis of electric machine could be improved with two presented approaches |
| |
| Keywords: | induction motors faultlocation optimal noise cancellation pattern classification lault signatuare extraction |
| 本文献已被 CNKI 维普 等数据库收录！ |
