| 大型机械设备变工况非平稳动态分析与监测诊断关键技术 |
| |
| 引用本文： | 何正嘉,訾艳阳,张周锁,马军星,高强,杨胜军. 大型机械设备变工况非平稳动态分析与监测诊断关键技术[J]. 中国机械工程, 1999, 10(9): 978-981 |
| |
| 作者姓名： | 何正嘉 訾艳阳 张周锁 马军星 高强 杨胜军 |
| |
| 作者单位： | 西安市,710049,西安交通大学 |
| |
| 摘 要： | 介绍适用于大型机械设备变工况非平稳在线和离线动态分析与监测诊断的关键技术：小波包频带能量监测，小波包自回归谱分析，谐波波波分析，波分析形分析， 波分析，主要分量回归谱模糊识别、波波包模糊聚类网络分类，机械设备监测诊断装置与系统等。
|
| 关 键 词： | 机械设备 变工况 非平稳 动态分析 监测诊断 |
Key Technologies on Dynamic Analysis and Monitoring-Diagnosis of Varying Operation and Nonstationarity for Large Mechanical Equipment |
| |
| He Zhengjia,Zi Yanyang,Zhang Zhousuo,Ma Junxing,Gao Qiang,Yang Shengjun. Key Technologies on Dynamic Analysis and Monitoring-Diagnosis of Varying Operation and Nonstationarity for Large Mechanical Equipment[J]. China Mechanical Engineering, 1999, 10(9): 978-981 |
| |
| Authors: | He Zhengjia Zi Yanyang Zhang Zhousuo Ma Junxing Gao Qiang Yang Shengjun |
| |
| Abstract: | This paper introduces key technologies on dynamic analysis and monitoring-diagnosis of varying operation and nonstationarity, which are suitable for large mechanical equipment under on-line and off-line conditions. They are frequency band energy monitoring via wavelet packets, spectral analysis of wavelet-autoregressive, harmonic wavelet analysis, wavelet fractal analysis, generalized adaptive wavelet analysis, fuzzy identification using principal component and autoregressive spectrum, fuzzy cluster neural network based on wavelet packets, monitoring- diagnosis device and systems for mechanical equipment etc. Engineering applications are illustrated with examples. Mechanical faults like looseness, surge, bearing defect, friction, misalignment, unbalance and so on were diagnosed successfully. |
| |
| Keywords: | mechanical equipment varying operation nonstationarity dynamic analysis monitoring-diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
