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| 基于小波分析的电机故障振声诊断方法 | |
| 引用本文： | 吕锋,孙杨,文成林,句希源.基于小波分析的电机故障振声诊断方法[J].电机与控制学报,2004,8(4):322-325,328. |
| 作者姓名： | 吕锋 孙杨 文成林 句希源 |
| 作者单位： | 1. 河北师范大学,电子系,河北,石家庄,050031 2. 河北省电力公司,河北,石家庄,050021 3. 杭州电子科技大学,自动化学院,浙江,杭州,310018 |
| 基金项目： | 国家自然科学基金资助项目(60374020) 河北省自然科学基金资助项目(F2004000180) 河北省教育厅自然科学研究资助项目(2003240) |
| 摘 要： | 小波分析能够将信号划分到不同频段内，而且在时一频两域都具有表征信号局部特征能力。基于小波分析的电机故障振声诊断方法，充分利用小波分析在处理急剧变化的高度不稳定信号时更加有效的优越性，在对电机振声故障暂态信号的多尺度分析基础上，有效的检测出故障及其类型，实现了电机故障的在线诊断，通过仿真结果验证了此方法的有效性。 |
| 关 键 词： | 电机 振声 故障诊断 特征提取 小波分析 仿真 |
| 文章编号： | 1007-449X(2004)04-0322-04 |
| 修稿时间： | 2004年6月20日 |
Oscillation-noise detection method of motor fault based wavelet analysis |
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| LU Feng,SUN Yang,WEN Cheng-lin,JU Xi-yuan Electrical.Oscillation-noise detection method of motor fault based wavelet analysis[J].Electric Machines and Control,2004,8(4):322-325,328. | |
| Authors: | LU Feng SUN Yang WEN Cheng-lin JU Xi-yuan Electrical |
| Affiliation: | LU Feng,SUN Yang,WEN Cheng-lin,JU Xi-yuan Electrical department of Hebei Normal University,Shijiazhuang,050031 China, He Bei Electric Power Corporation,Shijiazhuang 050021,China, Automation College of Hangzhou Dianzi University,Hangzhou,310018,China |
| Abstract: | The wavelet analysis can divide signals into different frequency sects, and provide with showing the local character ability of signals in both time and frequency domains. The oscillation-noise detection method of motor fault based wavelet analysis takes advantage of the wavelet analysis, which can effectively manage the sharp change of the unstable signals. Based on the multiscale analysis of the instant signal of the motor oscillation-noise faults, our method can on line detect the faults and the types of the motor effectively. So the simulation results have been proved to have good effect. |
| Keywords: | wavelet analysis feature extraction motor oscillation-noise fault detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |