摘要
针对齿轮箱运转异常时,经小波包变换的信号某一频带振动能量值会有较大变化的特征,探讨了小波包变换在齿轮箱故障诊断中的应用.通过对测取的齿轮箱振动信号进行小波包变换,可有效提取齿轮箱螺栓拉断的故障信息.分析表明,旋转机械的振动信号有稳定的频带分布,通过结合故障特点,把每一故障的频带特征提取出来,能为故障诊断提供很好的征兆.
Application of wavelet packet transform to fault diagnosis of gear-box is introduced. From wavelet packet transform of vibration signal to gear-box, the fault information of gear-box bolt snapped can be effectively extracted. According to the fault mechanism, vibration signal of rotating machinery has steady frequency-distribution. If every feature of fault frequency can be extracted, symptoms for fault diagnosis can be provided.
出处
《北京工业大学学报》
EI
CAS
CSCD
北大核心
2007年第3期240-244,共5页
Journal of Beijing University of Technology
基金
北京市科委计划项目(H030330050110)
关键词
小波分析
齿轮箱
螺栓
拉断
故障诊断
wavelet analysis
gear-box
bolt
snap
fault diagnosis