| 滚动轴承早期冲击性故障特征提取的综合算法研究 |
| |
| 引用本文： | 崔玲丽,康晨晖,胥永刚,高立新.滚动轴承早期冲击性故障特征提取的综合算法研究[J].仪器仪表学报,2010,31(11). |
| |
| 作者姓名： | 崔玲丽 康晨晖 胥永刚 高立新 |
| |
| 作者单位： | 北京工业大学机电学院先进制造技术北京市重点实验室; |
| |
| 基金项目： | 国家自然科学基金，北京市教委科技计划项目，北京市科技新星计划A类计划项目，国家863计划项目，北京市属高等学校人才强教计划项目 |
| |
| 摘 要： | 针对滚动轴承早期微弱冲击性故障信号特征难以提取的问题,提出了共振解调结合小波包系数熵阈值降噪的综合算法,用于准确确定并提取早期微弱冲击性故障引起的共振调制边频带。该算法应用时延相关和小波包系数熵阈值算法实现信号的双重降噪,并依据共振带能量比确定小波包分解的最佳分解尺度和选取熵阈值的最佳阈值,寻求共振带的最优解,然后进行共振解调提取故障信号特征。实验数据分析结果表明了该算法对滚动轴承早期冲击性故障提取的可行性和有效性。
|
| 关 键 词： | 共振解调 小波包变换 冲击性故障 特征提取 共振带能量比 |
Integrated algorithm research on early impactive fault feature extraction of rolling bearings |
| |
| Cui Lingli,Kang Chenhui,Xu Yonggang,Gao Lixin.Integrated algorithm research on early impactive fault feature extraction of rolling bearings[J].Chinese Journal of Scientific Instrument,2010,31(11). |
| |
| Authors: | Cui Lingli Kang Chenhui Xu Yonggang Gao Lixin |
| |
| Affiliation: | Cui Lingli,Kang Chenhui,Xu Yonggang,Gao Lixin(College of Mechanical Engineering and Applied Electronics Technology,Beijing University of Technology,The Key Laboratory of Advanced Manufacturing Technology,Beijing 100124,China) |
| |
| Abstract: | Aiming at the difficulty of early weak impactive fault feature extraction of roller bearings, an integrated algorithm based on resonance demodulation method and entropy threshold denoising of wavelet packet coefficients is proposed to accurately determine the resonance modulation bands resulted by early weak impactive fault signals. Firstly, the algorithm uses delayed correlation pretreatment and entropy threshold arithmetic of wavelet packet coefficients to realize double noise reduction of the signals. In... |
| |
| Keywords: | resonance demodulation wavelet packet transform impactive fault feature extraction resonance band energy ratio |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
