| 小波消噪和盲源分离在转子故障信号分析中的应用方法 |
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| 引用本文： | 苗锋,赵荣珍.小波消噪和盲源分离在转子故障信号分析中的应用方法[J].河南科技大学学报(自然科学版),2008,29(6). |
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| 作者姓名： | 苗锋 赵荣珍 |
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| 作者单位： | 兰州理工大学,数字制造技术与应用省部共建教育部重点实验室,甘肃,兰州,730050 |
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| 基金项目： | 甘肃省科技攻关项目，兰州理工大学校科研和教改项目 |
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| 摘 要： | 针对转子振动信号不可避免地受噪声污染问题,提出了一种基于小波消噪和盲源分离相结合的信号分析方法.该方法首先利用小波滤波器对测试信号进行消噪处理,再利用信号的二阶统计量(SOS)来分离盲源信号.仿真和实验结果表明, 相对于直接对测试信号进行盲源分离的方法,本方法可更有效地提取出转子振动的本质信号特征.
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| 关 键 词： | 故障诊断 小波消噪 盲源分离 特征提取 |
Application Method of Blind Source Separation and Wavelet De-noising in Rotor Fault Signal Analysis |
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| MIAO Feng,ZHAO Rong-Zhen.Application Method of Blind Source Separation and Wavelet De-noising in Rotor Fault Signal Analysis[J].Journal of Henan University of Science & Technology:Natural Science,2008,29(6). |
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| Authors: | MIAO Feng ZHAO Rong-Zhen |
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| Institution: | MIAO Feng,ZHAO Rong-Zhen (Key Laboratory of Digital Manufacturing Technology & Application of The Ministry of Education,Lanzhou University of Technology,Lanzhou 730050,China) |
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| Abstract: | In this paper,a new process monitoring method is presented based on wavelet transform and blind source separation.At first,wavelet transform is employed to de-noise measured signals to remove the process noise.Then blind source separation based on second order statistics(SOS) is used to extract blind source signals of the process.The simulation and experiment testing results show that the proposed method compared with other method based on blind source analysis directly with process information can effectiv... |
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| Keywords: | Fault diagnosis Wavelet de-noising Blind source separation Feature extraction |
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