摘要
简要介绍了时频分布检测信号的基本原理 ,并基于 Pseudo- Margenau- Hill( PMH)时频分布分析了某横法向稳定仪在正常和故障状态下所采集到的两组数据。实验结果分析表明 ,PMH分布可提取横法向稳定仪在故障状态时的信号时频特征 。
A brief introduction is made to the basic principle of detecting a fault signal using tims-frequency distribution analysis.Two groups of tested data acquired from normal and abnormal conditions of a lateral-normal stabilizer are analyzed by using Pseudo-Margenau-Hill Distribution(PMHD).The results of the analysis indicate that the time-frequency features of a signal under abnormal conditions and the time when a fault happens can be extracted by PMHD analysis.
出处
《振动.测试与诊断》
EI
CSCD
2003年第1期18-20,共3页
Journal of Vibration,Measurement & Diagnosis
基金
国家自然科学基金重点课题资助项目 (编号 :6993 10 40 )
关键词
时频分布
惯性器件
故障诊断
傅里叶变换
PMH分布
time-frequency distribution inertia component fault diagnosis FFT PMH distribution