| 煤矿主通风机故障诊断的小波包方法 |
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| 引用本文： | 付华,尹丽娜,汪琦.煤矿主通风机故障诊断的小波包方法[J].黑龙江科技学院学报,2007,17(1):26-29,36. |
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| 作者姓名： | 付华 尹丽娜 汪琦 |
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| 作者单位： | 辽宁工程技术大学,电气与控制工程学院,辽宁,葫芦岛,125105 |
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| 基金项目： | 辽宁省自然科学基金
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辽宁省高校优秀人才基金 |
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| 摘 要： | 针对传统的时域和频域分析存在难以同时诊断故障时间和具体类型的瓶颈问题,提出一种基于小波包分解的煤矿主通风机故障诊断方法.在深入分析煤矿主通风机故障机理的基础上,采集对故障敏感的振动信号,并用具有时频局部化特性的小波对其进行三层小波包分解,通过提取各个频段信号的能量特征值,诊断故障.经实例验证,该方法能有效的诊断出故障时间和类型,为煤矿主通风机故障诊断的研究作了新的探索.
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| 关 键 词： | 煤矿主通风机 小波包 故障诊断 煤矿 主通风机 故障诊断 小波包方法 wavelet packet ventilator coal mine diagnosis 研究 具体类型 实例验证 诊断故障 特征值 能量 振动信号 频段 提取 小波对 特性 时频局部化 |
| 文章编号： | 1671-0118（2007）01-0026-04 |
| 修稿时间： | 2006-12-17 |
Fault diagnosis of coal mine main ventilator by way of wavelet packet |
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| FU Hua,YIN Li'na,WANG Qi.Fault diagnosis of coal mine main ventilator by way of wavelet packet[J].Journal of Heilongjiang Institute of Science and Technology,2007,17(1):26-29,36. |
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| Authors: | FU Hua YIN Li'na WANG Qi |
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| Institution: | College of Electrical and Control of Liaoning Technology University, Huludao 125105, China |
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| Abstract: | Directed at the bottleneck to diagnose the fault time and type at the same time existing in traditional time domain and frequency domain, a kind of method of the fault diagnosis of coal mine main ventilator based on wavelet packet decompositon is proposed in this paper. On basis of analyzing the ventilator fault characters, the vibration signal which is one of the most sensitive signal is decomposed by three layer wavelet packet, and energy eigenvalue in each frequency branch is distilled to diagnose the fault. As proved by example, this way can effectively diagnose the time and type and make possible a new exploration for research about environment detection. |
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| Keywords: | coal mine main ventilator wavelet packet fault diagnosis |
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