| 空调电机振声信号的盲源分离故障特征提取 |
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| 引用本文： | 谷爱昱,杨志宏,章云.空调电机振声信号的盲源分离故障特征提取[J].电力系统及其自动化学报,2008,20(6). |
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| 作者姓名： | 谷爱昱 杨志宏 章云 |
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| 作者单位： | 1. 广东工业大学自动化学院,广州,510006
2. 广东威灵电机制造有限公司,顺德,528311 |
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| 摘 要： | 电机振声信号蕴涵着丰富的电机状态信息,文中提出利用电机振声信号对电机进行故障诊断,实现噪声出厂检测.由于观测信号信噪比较小,难于提取电机振声信号故障特征.应用肓分离技术从观测信号提取独立的声源信号,提出了基于峭度的盲源分离开关算法,可以在源信号概率密度函数未知时提取独立分量,消除相邻部件辐射噪声的干扰.实验证明该算法成功分离电机振声信号,有效提取故障特征.
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| 关 键 词： | 空调电机 噪声检测 盲源分离 特征提取 |
Fault Feature Extraction from Vibrating Sounds of Motors in Air-conditioners Using Blind Source Separation |
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| GU Ai-yu,YANG Zhi-hong,ZHANG Yun.Fault Feature Extraction from Vibrating Sounds of Motors in Air-conditioners Using Blind Source Separation[J].Proceedings of the CSU-EPSA,2008,20(6). |
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| Authors: | GU Ai-yu YANG Zhi-hong ZHANG Yun |
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| Affiliation: | GU Ai-yu1,YANG Zhi-hong2,ZHANG Yun1(1.School of Automation,Guangdong University of Technology,Guangzhou 510006,China,2.Guangdong Welling Motor Manufacturing Co.,Ltd.,Shunde 528311,China) |
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| Abstract: | Vibrating sounds,which contain abundant state information of motors,are used for fault-diagnosis and noise detecting of the finished motors.Due to the low signal-to-noise ratio (SNR),it is difficult to extract the feature of the vibrating sound signals.So,a blind source separation method is employed to extract the mutual independent sound source signals.This paper presents a kurtosis-based switch algorithm for blind source separation,so that independent components are extracted without having to know the pr... |
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| Keywords: | motor of air conditioner noise detecting blind source separation feature extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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