科技视界
科技視界
과기시계
Science&Technology Vision
2014年
7期
40-40
,共1页
解调%经验模式分解%故障
解調%經驗模式分解%故障
해조%경험모식분해%고장
Demodulation%Empirical mode decomposition%Fault
本文针对电机故障诊断提出了一种解调方法。首先，对复杂信号进行经验模式分解，得到若干个本征分量，再对包含调制信号的本征分量进行包络解调以提取故障信息。该方法可实现故障信息的有效分离，提高了诊断信号的信噪比，为基于信号分析的故障诊断提供了一种可行的途径。
本文針對電機故障診斷提齣瞭一種解調方法。首先，對複雜信號進行經驗模式分解，得到若榦箇本徵分量，再對包含調製信號的本徵分量進行包絡解調以提取故障信息。該方法可實現故障信息的有效分離，提高瞭診斷信號的信譟比，為基于信號分析的故障診斷提供瞭一種可行的途徑。
본문침대전궤고장진단제출료일충해조방법。수선，대복잡신호진행경험모식분해，득도약간개본정분량，재대포함조제신호적본정분량진행포락해조이제취고장신식。해방법가실현고장신식적유효분리，제고료진단신호적신조비，위기우신호분석적고장진단제공료일충가행적도경。
A new demodulation method is proposed for fault diagnosis of motor, The complex signal is decomposed into several intrinsic mode functions by empirical mode decomposition, and the fault information is extracted from the intrinsic mode functions containing modulated signals by envelope demodulation, whick then is effectively separated, thereby the signal to noise ratio of diagnosis signal is improved obviously, The method is suitab 1e for the fault diagnosis based on signal analysis.
