| 基于EMD与自回归谱的往复压缩机气阀故障诊断 |
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| 引用本文： | 张国新,蔡改贫,朱家俊.基于EMD与自回归谱的往复压缩机气阀故障诊断[J].煤矿机械,2007,28(10):192-193. |
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| 作者姓名： | 张国新 蔡改贫 朱家俊 |
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| 作者单位： | 江西理工大学,机电工程学院,江西,赣州,341000 |
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| 摘 要： | EMD是一种适用于非线性、非平稳信号的自适应分析方法,故障信号经EMD分解后,提取对故障敏感的分量作自回归谱分析,可以得到高信噪比的特征量。试验分析表明,该方法对压缩机气阀故障诊断是有效的。
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| 关 键 词： | EMD 自回归谱 气阀 故障诊断 |
| 文章编号： | 1003-0794（2007）10-0192-02 |
| 修稿时间： | 2007-06-21 |
Fault Diagnosis of Reciprocating Compressor Valves Based on EMD and AR Spectrum |
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| ZHANG Guo-xin,CAI Gai-pin,ZHU Jia-jun.Fault Diagnosis of Reciprocating Compressor Valves Based on EMD and AR Spectrum[J].Coal Mine Machinery,2007,28(10):192-193. |
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| Authors: | ZHANG Guo-xin CAI Gai-pin ZHU Jia-jun |
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| Affiliation: | College of Mechanical and Electronical Engineering, Jiangxi University of Science and Technology,Ganzhou 341000,China |
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| Abstract: | As a signal analysis method, both empirical mode decomposition and autoregresslve spectrum are introduced. EMD method can decompose the signal into some intrinsic mode function. Use a intrinsic mode function corresponding to fault, autoregresslve spectrum method can make a good character parameter having high SNR. Experiment shows that this method is efficient in fault diagnosis of reciprocating compressor valves. |
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| Keywords: | empirical mode decomposition autoregresslve spectrum gas valve fault diagnosis |
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