摘要
根据倒频谱所具有的特性,将原来信号频谱图上成族的边频带谱线简化为单根谱线。利用这一特点来识别齿轮振动复杂频谱图上的周期结构,分离和提取出密集泛频信号中的周期成分、多成分边频等复杂信号,使测试系统的在线故障诊断更加快速准确。
Based on the property of cepstrum, it can simplify original power spectrum into single spectral lines of frequency band of group,which may distinguish the period structure on the complex picture of frequency spectra,split the period composition from dense frequency signal. It is quick and precise for the identification of the complex signals such as gear vibration that has period compositions with many border frequencies.
出处
《太原理工大学学报》
CAS
2003年第6期661-663,667,共4页
Journal of Taiyuan University of Technology
基金
山西省自然科学基金项目资助(20011042)
关键词
倒频谱
故障诊断
齿轮
cepstrum
fault diagnosis
gear
