文章摘要
李红,孙冬梅,沈玉成.EEMD降噪与倒频谱分析在风电轴承故障诊断中的应用[J].机床与液压,2018,46(13):156-159.
.Application of EEMD Noise Reduction and Cepstrum Analysis in Fault Diagnosis of Wind Power Bearing[J].Machine Tool & Hydraulics,2018,46(13):156-159
EEMD降噪与倒频谱分析在风电轴承故障诊断中的应用
Application of EEMD Noise Reduction and Cepstrum Analysis in Fault Diagnosis of Wind Power Bearing
  
DOI:0.3969/j.issn.1001-3881.2018.13.038
中文关键词: 风电轴承  EEMD降噪;EEMD—倒频谱;故障诊断
英文关键词: Wind power bearing  EEMD noise reduction  EEMD-Cepstrum  Fault diagnosis
基金项目:国家自然科学基金资助项目(51277092);江苏省人事厅江苏省博士后资助计划(1201012C)
作者单位E-mail
李红 南京工业大学电气工程与控制科学学院 1014779095@qq.com 
孙冬梅 南京工业大学电气工程与控制科学学院  
沈玉成 南京工业大学电气工程与控制科学学院  
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中文摘要:
      针对风电轴承故障时的振动信号为低频信号,并且出现不平稳、非线性等特点,一般很难检验出来,所以提出了一种新的轴承故障诊断方法:首先提出了基于相关系数与峭度相结合的EEMD降噪方法,对轴承振动加速度信号进行去噪,然后对降噪后的信号再次进行EEMD分解并与倒频谱相结合,对振动信号进行处理。此方案不仅提高了振动信号的信噪比,而且抑制了在经验模态分解中的模式混叠现象,提高了故障诊断的准确性,充分显示了其应用在风电轴承故障诊断系统中的可行性。
英文摘要:
      Aiming at the disadvantage of wind power bearing fault vibration signal, such as low frequency, not smooth, nonlinear, difficult to detect, it puts forward a new fault diagnosis method for bearing. First of all, the Ensemble Empirical Mode Decomposition (EEMD) noise reduction method was proposed based on integrated correlation index and kurtosis to make noise reduction of acceleration signal of bearing vibration, then the combination of EEMD and cepstrum was used process the vibration signal, which could not only improve the signal’s noise ratio, but also inhibit the mode mixing phenomenon in the EMD decomposition process. It improves the accuracy of fault diagnosis and fully shows the feasibility of its application in wind turbine bearing fault diagnosis system.
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