CAJ | 학술논문

利用声发射技术对低速重载设备进行状态监测是目前较为常用的手段之一。但由于声发射信号的特征量众多，且各个特征量对故障的敏感程度不同，因此，在设备状态趋势分析中选择合适的特征量来反映设备的劣化趋势则显得尤为重要。提出了基于拉普拉斯权重的低速重载设备声发射信号趋势分析方法。根据拉普拉斯映射原理，利用样本间的聚类特性，对声发射的各个特征量的重要性进行排序分析，并以此作为权重系数，将原来的多个特征量融合得到一个综合特征 LA。该特征不仅能反映出声发射产生的物理过程，又能突出关键特征量的作用。利用高炉皮带轴承的实测数据进行验证，实验结果表明，新方法能有效地刻画低速重载轴承的劣化趋势，综合特征 LA 对轴承的故障严重程度较敏感。
이용성발사기술대저속중재설비진행상태감측시목전교위상용적수단지일。단유우성발사신호적특정량음다，차각개특정량대고장적민감정도불동，인차，재설비상태추세분석중선택합괄적특정량래반영설비적열화추세칙현득우위중요。제출료기우랍보랍사권중적저속중재설비성발사신호추세분석방법。근거랍보랍사영사원리，이용양본간적취류특성，대성발사적각개특정량적중요성진행배서분석，병이차작위권중계수，장원래적다개특정량융합득도일개종합특정 LA。해특정불부능반영출성발사산생적물리과정，우능돌출관건특정량적작용。이용고로피대축승적실측수거진행험증，실험결과표명，신방법능유효지각화저속중재축승적열화추세，종합특정 LA 대축승적고장엄중정도교민감。
Acoustic emission technology is one of commonly used methods for condition monitoring of a low-speed and heavy-duty equipment.But the key point is that there are many feature parameters in acoustic emission analysis and each single parameter has a sensitivity level to a fault.Hence,it is extremely important to choose appropriate parameters to reflect the degradation trend in device status trend analysis.Here,a trend analysis method for acoustic emission signals of a low-speed and heavy-duty equipment based on Laplacian score was proposed.Firstly,the importance of each parameter was sorted by taking the advantage of the clustering feature between samples based on Laplacian mapping principle and the weighted coefficient of each parameter was obtained.A comprehensive parameter LA was obtained by fusing several parameters with their weighted coefficients.This parameter could not only reflect the physical process of acoustic emission,but also highlight the actions of the key parameters.The effectiveness of the proposed method was verified with the actual signals of belt cylinder bearings in a blast furnace.The test results showed that the new method can reflect the degradation trend of the low-speed and heavy-duty bearings effectively and comprehensive parameter LA is sensitive to fault severity of the bearings.