CAJ | 학술논문

针对滚动轴承内外圈的早期故障，提出了一种新的诊断方法，该方法融合了数学形态学对非线性信号的滤波和信息熵理论在信号表征方面的优越性。首先，利用数学形态差值滤波器对实测的轴承内外圈轻重损伤的故障信号进行消噪处理，充分突出了有用的故障特征信息；然后，利用差分熵提取该信号中的突变特征信息，对其进行不确定性和复杂性度量；最后，根据突变点的冲击时间间隔和内外圈故障周期性冲击的时间间隔一致的思想来完成对滚动轴承的故障诊断。通过对仿真信号和滚动轴承实测内外圈两种故障程度的振动信号的诊断分析，证明该方法能够很好地识别轴承内外圈早期故障的类型，且具有很高的准确率。
침대곤동축승내외권적조기고장，제출료일충신적진단방법，해방법융합료수학형태학대비선성신호적려파화신식적이론재신호표정방면적우월성。수선，이용수학형태차치려파기대실측적축승내외권경중손상적고장신호진행소조처리，충분돌출료유용적고장특정신식；연후，이용차분적제취해신호중적돌변특정신식，대기진행불학정성화복잡성도량；최후，근거돌변점적충격시간간격화내외권고장주기성충격적시간간격일치적사상래완성대곤동축승적고장진단。통과대방진신호화곤동축승실측내외권량충고장정도적진동신호적진단분석，증명해방법능구흔호지식별축승내외권조기고장적류형，차구유흔고적준학솔。
Concerning the early fault diagnosis of inner and outer race,a novel method was pro-posed.The method put the advantages of mathematical morphology filtering nonlinear signals and the advantages of information entropy theory characterizing signals together.Firstly,the measured slight and severe fault signals of inner and outer race faults were filtered by morphological difference filter to get more useful fault characteristic informations.Secondly,the abrupt informations of signals were extracted by difference entropy,and the uncertainty and complexity of abrupt information were meas-ured by difference entropy.Lastly,the faults were diagnosed successfully based on the mind of the periodic time interval of abrupt point coincided with the periodic impulsive time interval of inner and outer race faults.The simulation signals and the two fault signals of the rolling bearing were tested and verified,the result is that the new method can diagnosis the early faults of inner and outer race with high accuracy.