机床与液压
機床與液壓
궤상여액압
MACHINE TOOL & HYDRAULICS
2014年
3期
173-176
,共4页
滚珠丝杠%平均影响值%特征筛选%SVM%故障诊断
滾珠絲槓%平均影響值%特徵篩選%SVM%故障診斷
곤주사강%평균영향치%특정사선%SVM%고장진단
Ball screw%Mean impact value%Feature selection%Support vector machine%Fault diagnosis
针对滚珠丝杠故障诊断中存在大量冗余信息的特点，引入平均影响值法对故障信号特征进行筛选。该法可剔除冗余特征，保留对诊断结果影响较大的特征作为支持向量机（SVM）的输入，然后借助支持向量机实现对输入参量的训练以及故障模式识别。经实验验证，实例中所建立的滚珠丝杠故障诊断模型，能在更大程度上缩短诊断时间，提高分类精度，具有较传统诊断模型更好的诊断效果。
針對滾珠絲槓故障診斷中存在大量冗餘信息的特點，引入平均影響值法對故障信號特徵進行篩選。該法可剔除冗餘特徵，保留對診斷結果影響較大的特徵作為支持嚮量機（SVM）的輸入，然後藉助支持嚮量機實現對輸入參量的訓練以及故障模式識彆。經實驗驗證，實例中所建立的滾珠絲槓故障診斷模型，能在更大程度上縮短診斷時間，提高分類精度，具有較傳統診斷模型更好的診斷效果。
침대곤주사강고장진단중존재대량용여신식적특점，인입평균영향치법대고장신호특정진행사선。해법가척제용여특정，보류대진단결과영향교대적특정작위지지향량궤（SVM）적수입，연후차조지지향량궤실현대수입삼량적훈련이급고장모식식별。경실험험증，실례중소건립적곤주사강고장진단모형，능재경대정도상축단진단시간，제고분류정도，구유교전통진단모형경호적진단효과。
According to the characteristic that a large number of redundant information existed in the fault diagnosis of ball screw, mean impact value (MIV)method was introduced to select features of trouble signal. Using this method,redundant features could be removed and the features that had greater impact on the diagnostic result were taken as the input of support vector machine (SVM). Then SVM was used to train input parameters and complete fault pattern recognition. By experiments verification,the ball screw fault diagnosis model has a better diagnostic result which has shorter time and high accuracy than before.
