| 基于小波分析理论的风机故障诊断技术研究 |
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| 引用本文： | 孙康,沈亮霓.基于小波分析理论的风机故障诊断技术研究[J].煤矿机械,2007,28(8):200-202. |
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| 作者姓名： | 孙康 沈亮霓 |
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| 作者单位： | 江西理工大学,江西,赣州,341000 |
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| 基金项目： | 江西省自然科学基金
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江西省科技厅科技攻关项目 |
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| 摘 要： | 基于小波分析理论,针对风机动静碰摩故障信号进行了小波分析,利用特定频带的信息进行故障诊断,并通过对实验数据分析有效地提取了故障特征,验证了该方法的正确性和有效性。该研究为对风机振动信号进行分析处理,进而为实施故障诊断提供了有效的方法。
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| 关 键 词： | 风机 故障诊断 小波分析 |
| 文章编号： | 1003-0794（2007）08-0200-03 |
| 修稿时间： | 2007-05-11 |
Study on Fault Diagnosis on Blower Fan Based on Wavelet Analysis |
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| SUN Kang,SHEN Liang-ni.Study on Fault Diagnosis on Blower Fan Based on Wavelet Analysis[J].Coal Mine Machinery,2007,28(8):200-202. |
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| Authors: | SUN Kang SHEN Liang-ni |
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| Affiliation: | Jiangxi University of Science and Technology, Ganzhou 341000, China |
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| Abstract: | The vibration signal on friction of blower fan has been analyzed based on wavelet theory.Can acquire fault character by analyzing special parts,which has been confirmed to be accuracy and effectiveness by the experimental data.The study provides a feasible technique which can support for fault diagnosis of rotary. |
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| Keywords: | blower fan fault diagnosis wavelet analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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