| 往复压缩机多重分形故障特征提取 |
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| 引用本文： | 王金东,李新伟,张忠臣,赵海洋.往复压缩机多重分形故障特征提取[J].压缩机技术,2008(1):12-14. |
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| 作者姓名： | 王金东 李新伟 张忠臣 赵海洋 |
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| 作者单位： | 1. 大庆石油学院机电工程系,黑龙江,大庆,163318
2. 大庆油田装备制造集团,黑龙江,大庆,163000 |
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| 摘 要： | 实现了基于多重分形的往复压缩机振动信号的故障特征提取。针对往复压缩机振动信号的非线性和非平稳性，使用多重分形谱和广义维数对压缩机振动信号进行分析，从中提取可识别的故障特征。分析结果发现多重分形谱中的△α值和广义维数Dq作为故障特征能够很好地反映往复压缩机的工作状态，为往复压缩机的故障特征识别提供了必要依据。
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| 关 键 词： | 往复压缩机 故障诊断 多重分形谱 广义维数 |
| 文章编号： | 1006-2971（2008）01-0012-03 |
| 收稿时间： | 2007-10-25 |
| 修稿时间： | 2007年10月25 |
Fault Feature Extration of Reciprocating Compressor Based on Multifractal Theory |
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| WANG Jin-dong,LI Xin-wei,ZHANG Zhong-chen,ZHAO Hai-yang.Fault Feature Extration of Reciprocating Compressor Based on Multifractal Theory[J].Compressor Technology,2008(1):12-14. |
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| Authors: | WANG Jin-dong LI Xin-wei ZHANG Zhong-chen ZHAO Hai-yang |
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| Affiliation: | WANG Jin-dong , LI Xin-wei , ZHANG Zhong-chen, ZHAO Hai-yang ( 1. Department of Mechanics, Daqing Petroleum Institute, Daqing 163318, China ; 2. Daqing Petroleum Equipment Group ,Daqing 163000, China) |
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| Abstract: | The fault feature extraction of reciprocating compressor vibration signals based on multifractal theory is presented in this study. Aiming at that the reciprocating compressor vibration signals are nonlinear and non- stationary, multifractal spectrum and general dimension are applied to analyze compressor vibration signals and extract fault feature which can be identified. The analysis results show that multifractal spectrum and general dimension give a good presentation for reciprocating compressor working condition and provide necessary evidence for reciprocating compressor fault feature identification. |
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| Keywords: | reciprocating compressor fault diagnosis multifractal spectrum general dimension |
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