中国机械工程
中國機械工程
중국궤계공정
CHINA MECHANICAl ENGINEERING
2015年
11期
1450-1456
,共7页
滚动轴承%稀疏度%最大相关峭度解卷积%故障诊断
滾動軸承%稀疏度%最大相關峭度解捲積%故障診斷
곤동축승%희소도%최대상관초도해권적%고장진단
rolling bearing%sparsity%maximum correlated kurtosis deconvolution(MCKD)%fault diagnosis
滚动轴承处于早期故障阶段时，特征信号微弱，并且受环境噪声影响严重，因此故障特征提取困难。针对这一问题，将最大相关峭度解卷积算法应用于轴承故障诊断，并通过包络谱稀疏度来筛选最佳解卷积周期参数，提出了基于包络谱稀疏度和最大相关峭度解卷积的滚动轴承早期故障诊断方法。利用最佳参数相对应的最大相关峭度解卷积算法对原信号进行处理，得到解卷积信号后计算其包络谱，通过分析包络谱中幅值突出的频率成分来判断故障类型。早期故障仿真信号及实测全寿命数据分析结果表明，该方法可有效应用于轴承早期故障诊断。
滾動軸承處于早期故障階段時，特徵信號微弱，併且受環境譟聲影響嚴重，因此故障特徵提取睏難。針對這一問題，將最大相關峭度解捲積算法應用于軸承故障診斷，併通過包絡譜稀疏度來篩選最佳解捲積週期參數，提齣瞭基于包絡譜稀疏度和最大相關峭度解捲積的滾動軸承早期故障診斷方法。利用最佳參數相對應的最大相關峭度解捲積算法對原信號進行處理，得到解捲積信號後計算其包絡譜，通過分析包絡譜中幅值突齣的頻率成分來判斷故障類型。早期故障倣真信號及實測全壽命數據分析結果錶明，該方法可有效應用于軸承早期故障診斷。
곤동축승처우조기고장계단시，특정신호미약，병차수배경조성영향엄중，인차고장특정제취곤난。침대저일문제，장최대상관초도해권적산법응용우축승고장진단，병통과포락보희소도래사선최가해권적주기삼수，제출료기우포락보희소도화최대상관초도해권적적곤동축승조기고장진단방법。이용최가삼수상대응적최대상관초도해권적산법대원신호진행처리，득도해권적신호후계산기포락보，통과분석포락보중폭치돌출적빈솔성분래판단고장류형。조기고장방진신호급실측전수명수거분석결과표명，해방법가유효응용우축승조기고장진단。
Early fault features of rolling bearings are very weak and are affected by environment noise seriously,so it is difficult to draw fault features.Aiming at solving this problem,MCKD was tried to diagnose faults for bearings,and sparsity of envelope spectrum was used to select the optimal deconvolution period parameter,then incipient fault diagnosis method for rolling bearings was pro-posed based on sparsity of envelope spectrum and MCKD.MCKD method corresponding to the opti-mal parameter was used to process the original signals and the envelope spectrum of deconvolution signals was obtained,the bearing faults were judged by analyzing the envelope spectrum.Simulated in-cipient fault signals and full lifetime datasets of rolling bearings were used to examine the feasibility of this method and the results show the new method can be applied to diagnose the incipient fault effec-tively.
