| 基于小波分析的煤矿机电设备故障检测关键技术应用研究 |
| |
| 引用本文： | 吴舰,吴楠.基于小波分析的煤矿机电设备故障检测关键技术应用研究[J].自动化与仪器仪表,2011(5):84-85,89. |
| |
| 作者姓名： | 吴舰 吴楠 |
| |
| 作者单位： | 贵州师范大学 贵阳,350014 |
| |
| 基金项目： | 贵州省社会发展公关项目(黔科合SY[2010]3023) |
| |
| 摘 要： | 针对煤矿关键设备中常见多发机械故障,深入研究煤矿设备机械故障振动特征识别技术及其应用。介绍了智能诊断技术中专家系统、模糊控制、神经网络控制等的特点,通过理论与技术分析,提出小波分析实现煤矿设备不同损伤类故障微弱特征识别,以及煤矿设备在线监测与故障智能诊断应用。
|
| 关 键 词： | 机械故障 智能故障诊断 小波分析 |
The coal mine electrical equipment fault detect key technology of application and research based on wavelet analysis |
| |
| Wu Jian,Wu Nan.The coal mine electrical equipment fault detect key technology of application and research based on wavelet analysis[J].Automation & Instrumentation,2011(5):84-85,89. |
| |
| Authors: | Wu Jian Wu Nan |
| |
| Affiliation: | Wu Jian,Wu Nan |
| |
| Abstract: | The paper research the coal mine mechanical failure of vibration characteristics Identification technology and its application for the common multiple mechanical failure of coal mine key equipments .The expert systems, fuzzy control, neural network control of characteristics are introduced in this paper. By the theory and technology analyze, the way that base on wavelet analysis way be proposed for mine equipments different damage class of failure weak feature recognition is used mine equipments online monitoring and intelligent fault diagnosis. |
| |
| Keywords: | Mechanical failure Intelligent fault diagnosis Wavelet analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
