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基于谐波小波变换的滑动轴承油膜涡动与振荡故障识别与分析

Fault Identification and Analysis of Oil Whirl and Oil Whip Based on Harmonic Wavelet Transform

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【作者】 姚明镜张春良岳夏朱厚耀

【Author】 Yao Mingjing;Zhang Chunliang;Yue Xia;Zhu Houyao;Mechanical Engineering Department,University of South China;Mechanical and Electrical Engineering Department,Guangzhou University;

【机构】 南华大学机械工程学院广州大学机械与电气工程学院

【摘要】 介绍了转子系统油膜涡动与振荡的产生机理和故障特征。应用谐波小波变换对转子振动信号进行故障分析,提取故障特征信息,从而识别出油膜涡动与振荡。通过转子试验台模拟油膜涡动与振荡,并基于Labview平台开发了基于谐波小波滤波的信号处理系统,与FIR滤波的对比分析表明,谐波小波变换结果更好,特征提取结果更为精确。

【Abstract】 Describes the mechanism and characteristics of the rotor system failures’ oil whirl and oil whip.The harmonic wavelet transform is used to process rotor speed signal up for failure analysis,extracting fault information to identify the whirl and oil whip.Simulates the rotor oil whirl and oil whip by the rotor test bed.The signal processing system based on harmonic wavelet filtering is developed with the Labview platform.It shows that the conversion result of harmonic wavelet is better than FIR digital filter and the feature extraction result is more accurate.

【基金】 国家自然科学基金项目(51275099,51305086);广东省自然科学基金项目(S2012010009505);广州市羊城学者首席科学家项目(12A006S);广东市机电设备状态监测与控制重点实验室建设项目(2060402)
  • 【分类号】TH133.31;TH165.3
  • 【被引频次】3
  • 【下载频次】212
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