| 张定会.基于小波分析的故障诊断[J].上海理工大学学报,2000,(2):137-140. |
| 基于小波分析的故障诊断 |
| Fault diagnosis based on wavelet analysis |
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| DOI： |
| 中文关键词: 小波分析 故障诊断 特征提取 信号分析 |
| 英文关键词:wavelet analysis,fault diagnosis,feature extraction |
| 基金项目: |
| 张定会 |
| 上海理工大学光学与电子信息工程学院!上海200093 |
| 摘要点击次数: 15764 |
| 全文下载次数: 44 |
| 中文摘要: |
| 对信号进行特征提取，是故障诊断的关键。突变信号往往对应着某类故障，如果能对突变信号进行有效识别，就能达到故障诊断的目的。对如何从混有噪声的振动信号中有效识别出突变信号，本文进行了一系列方法研究。 |
| 英文摘要: |
| Signal feature extrachon is a key to fault diagnosis. Abrupt signal is often connected with a kind of faults. If abrupt signal can be efficiently recognized, a fault can be diagnosed comparatively easily For how to effectively idenhfy abrupt signals from vibrahon signals with noise, a series of researches is carried out. Research results show that antisymmetric and symmetric wavelet transforms can efficiently recognize abrupt signals, and are really valuable in fault diagnosis. |
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