中国机械工程
中國機械工程
중국궤계공정
CHINA MECHANICAl ENGINEERING
2014年
10期
1374-1380
,共7页
等角度采样%特征统计量%内燃机%故障分类
等角度採樣%特徵統計量%內燃機%故障分類
등각도채양%특정통계량%내연궤%고장분류
equal angle sampling%characteristic statistics%internal combustion engine%fault classi-fication
为了提高发动机故障分类的准确率和成功率，提出了基于角域信号特征统计量的发动机故障分类方法。包括：利用编码器进行发动机振动信号的等角度采样；采用小波包分析和相关系数法获取发动机角域信号的特征阶次；选取特征阶次信号的能量比、标准差比、谱能量比及谱均值比4组参数作为角域信号特征统计量来提取发动机故障特征；采用支持向量机法对发动机故障进行分类。连杆轴承配合间隙故障的台架试验结果证明：相比于传统的分类方法，该方法明显提高了发动机故障分类的准确率。
為瞭提高髮動機故障分類的準確率和成功率，提齣瞭基于角域信號特徵統計量的髮動機故障分類方法。包括：利用編碼器進行髮動機振動信號的等角度採樣；採用小波包分析和相關繫數法穫取髮動機角域信號的特徵階次；選取特徵階次信號的能量比、標準差比、譜能量比及譜均值比4組參數作為角域信號特徵統計量來提取髮動機故障特徵；採用支持嚮量機法對髮動機故障進行分類。連桿軸承配閤間隙故障的檯架試驗結果證明：相比于傳統的分類方法，該方法明顯提高瞭髮動機故障分類的準確率。
위료제고발동궤고장분류적준학솔화성공솔，제출료기우각역신호특정통계량적발동궤고장분류방법。포괄：이용편마기진행발동궤진동신호적등각도채양；채용소파포분석화상관계수법획취발동궤각역신호적특정계차；선취특정계차신호적능량비、표준차비、보능량비급보균치비4조삼수작위각역신호특정통계량래제취발동궤고장특정；채용지지향량궤법대발동궤고장진행분류。련간축승배합간극고장적태가시험결과증명：상비우전통적분류방법，해방법명현제고료발동궤고장분류적준학솔。
In order to improve the precision rate and success rate of engine fault classification,a new fault classification based on the characteristic statistics in angle domain was proposed.The new method used an optical encoder to acquire engine rotational vibration signals of equal angle sampling. Wavelet packet analysis and correlation coefficient method were applied to acquire the characteristic order of the engine signals in angle domain.Energy ratio,standard deviation ratio,spectrum energy ra-tio and spectrum mean ratio of the characteristic order were regarded as the characteristic statistics in angle domain to extract engine fault features.The method of support vector machines was also adopted to classify the engine faults.Experimental results using signals recorded from an engine with an im-proper fit clearance existed in the connecting rod bearing show,compared with the traditional fault classification,this new method can improve precision rate of the fault classification.
