摘要
为了解决受工况噪声影响经验小波变换(EWT)在应用于轴承故障振动信号提取冲击脉冲分量时存在的频带过度划分问题,提出了一种基于能量谱频带合并的改进的EWT方法。实验结果表明,该方法解决了原EWT存在的频带过度划分问题,可以抑制一定程度的工况噪声干扰,准确且较为完整地提取出轴承故障冲击脉冲分量,使故障诊断结果更为准确。
In order to solve the problem of excessive division of frequency bands due to the influence of working condition noise in the application of empirical wavelet transform(EWT)to extracting impact impulse component from vibration signal of bearing fault,an improved EWT method based on energy spectrum band merging was proposed.The experimental results show that the method solves the problem of excessive division of frequency bands of the original EWT,can restrain a certain interference of the working condition noise and extract the impact impulse component of bearing fault accurately and completely,which makes the result of fault diagnosis more accurate.
作者
赵国新
李菲
魏战红
彭锋
丁若凡
Zhao Guoxin;Li Fei;Wei Zhanhong;Peng Feng;Ding Ruofan(College of Information Technology,Beijing Institute of Petrochemical Technology,Beijing 102617,China)
出处
《煤矿机械》
北大核心
2020年第7期157-159,共3页
Coal Mine Machinery
基金
国家自然科学基金青年科学基金项目(61702040)
北京市教委科研科技计划一般项目(KM201810017006)
北京市自然科学基金青年项目(4174089)
北京石油化工学院国家级大学生创新创业训练计划项目(2018J00099)。
关键词
轴承
EWT
能量谱
皮尔逊相关系数
故障诊断
bearing
EWT
energy spectrum
Pearson correlation coefficient
fault diagnosis
