Fault Diagnosis Method for Hydraulic Pump Based on Fuzzy Entropy of Wavelet Packet and LLTSA

International journal of online engineering

Wang Fei¹ 

关键词: wavelet packet analysis;    fuzzy entropy;    LLTSA;    feature extraction;    hydraulic pump;    fault diagnosis;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

As the vibration signalcharacteristic s of hydraulic pumppresentnon-stationary and the fault features is difficult to extract, a new feature extraction method was proposed .This approach combines wavelet packet analysis techniques, fuzzy entropy and LLTSA (liner local tangent space alignment) which is one of typical manifold learning methods toextract ing fault   feature. Firstly, the vibration signals were decomposed into eight signals in differentscale s, then the fuzzy entropies of signals were calculated to constitute eightdimensions featurevector. Secondly, LLTSA method was applied to compress the high-dimension features into low-dimension features which have a better classification performance. Finally, the SVM (support vector machine) was employed todistinguishdifferentfaultfeatures. Experiment results of hydraulic pump feature extraction show that the proposed method can exactly classify different fault type of hydraulic pump and this method has a significant advantagecompare d with other feature extraction means mentioned in this paper. 

【 授权许可】

Unknown