| 基于改进样板去噪源分离的轴承复合故障诊断 |
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| 引用本文： | 陈晓理,王仲生,姜洪开,王峰.基于改进样板去噪源分离的轴承复合故障诊断[J].中国机械工程,2011,22(17). |
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| 作者姓名： | 陈晓理 王仲生 姜洪开 王峰 |
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| 作者单位： | 1. 西北工业大学,西安,710072
2. 塔里木油田塔西南勘探开发公司,喀什,844804 |
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| 基金项目： | 国家自然科学基金资助项目(51075330,50975231) |
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| 摘 要： | 环境噪声处理不当或者传感器数目少于故障数目都可能导致基于源分离的复合故障诊断失败,针对此问题,提出了基于改进样板去噪源分离的诊断方法并用于轴承复合故障诊断。该方法首先对数据进行移动独立分量分析,然后将得到的独立成分作为输入样板进行样板去噪源分离。轴承复合故障的仿真和实验数据分析证明,该方法能够在未知噪声环境下完成传感器数目少于故障数目的欠定源分离,该方法对轴承复合故障诊断是有效的。
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| 关 键 词： | 复合故障 改进样板去噪源分离 轴承 欠定源分离 |
Bearing Multi-fault Diagnosis Based on Improved Template Denoising Source Separation |
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| Chen Xiaoli Wang Zhongsheng Jiang Hongkai Wang Feng .Northwestern Polytechnical University,Xi'an, .South-western Explortion & Development Company,Tarim Oilfield,Kashi,Xinjiang.Bearing Multi-fault Diagnosis Based on Improved Template Denoising Source Separation[J].China Mechanical Engineering,2011,22(17). |
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| Authors: | Chen Xiaoli Wang Zhongsheng Jiang Hongkai Wang Feng Northwestern Polytechnical University Xi'an South-western Explortion & Development Company Tarim Oilfield Kashi Xinjiang |
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| Affiliation: | Chen Xiaoli1 Wang Zhongsheng1 Jiang Hongkai1 Wang Feng2 1.Northwestern Polytechnical University,Xi'an,710072 2.South-western Explortion & Development Company,Tarim Oilfield,Kashi,Xinjiang,844804 |
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| Abstract: | Processing noise improperly or the number of sensors less than the numner of faults may lead to failure of multi-fault diagnosis based on source separation.Improved template denoising source separation was proposed and used to diagnose multi-fault of bearings.Shift independent component analysis was carried out first and the independent components obtained were used as templates to the template denoising source separation algorithm.The proposed method can separate source signals through underdetermined sour... |
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| Keywords: | multi-fault improved template denoising source separation bearing underdetermined source separation |
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