船电技术
船電技術
선전기술
2012年
3期
61-64
,共4页
旋转机械%小波去噪%故障检测%模极大值
鏇轉機械%小波去譟%故障檢測%模極大值
선전궤계%소파거조%고장검측%모겁대치
rotating machinery,wavelet de-noising%fault diagnosis,modulus maxima
针对旋转机械的非平稳振动信号难以用传统方法处理的问题,本文讨论了小波方法在旋转机械振动信号去噪中的应用。针对旋转机械故障信号的特点,提出阈值去噪和模极大值相结合的小波去噪方法对振动信号进行处理,并利用多种指标对去噪后信号做出全而客观的评价。实验结果表明该方法可以有效的提高故障信号信噪比,有利于提高后期故障诊断的准确率。
針對鏇轉機械的非平穩振動信號難以用傳統方法處理的問題,本文討論瞭小波方法在鏇轉機械振動信號去譟中的應用。針對鏇轉機械故障信號的特點,提齣閾值去譟和模極大值相結閤的小波去譟方法對振動信號進行處理,併利用多種指標對去譟後信號做齣全而客觀的評價。實驗結果錶明該方法可以有效的提高故障信號信譟比,有利于提高後期故障診斷的準確率。
침대선전궤계적비평은진동신호난이용전통방법처리적문제,본문토론료소파방법재선전궤계진동신호거조중적응용。침대선전궤계고장신호적특점,제출역치거조화모겁대치상결합적소파거조방법대진동신호진행처리,병이용다충지표대거조후신호주출전이객관적평개。실험결과표명해방법가이유효적제고고장신호신조비,유리우제고후기고장진단적준학솔。
In view of the traditional method cannot be effective applied in non-stationary rotating machinery signal de-noising, a new wavelet analysis method is introduced. Based on the analysis of noise characteristics of the rotating machinery signal, the combination of hard threshold function and Module Maximum Value method is experimented. A new effective evaluation system is proposed from multi-perspectives and it can conclude a comprehensive and objective evaluation of the de-noising signal. Experimental results show that the method can effectively remove the noise and identify fault diagnosis with rotating machinery.
