Research on automatic measurement and recognition of oil pressure signals of load simulation system
WANG Xin-qing, WANG Dong, ZHAO Yang ZHU Hui-jie XIE Quan-min
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Engineering Institute of Corps of Engineers, PLA University of Science and Technology, Nanjing 210007, China
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History+
Received
Revised
Published
2012-04-01
2012-06-21
2013-01-25
Issue Date
2013-01-25
Abstract
In the process of automatic measurement and recognition, the oil pressure signals of working device in the load simulation system are typical non-stationary. The signals with characteristics of many influencing factors, without significant frequency domain features and there is no single feature parameter can recognize the signals exactly. In view of above facts, the method proposed in this paper can exactly recognize the six different working states of the working device. Firstly, divide up the different working states. Then, extract the principal components from the original calculated feature set based on principal component analysis (PCA). Finally, establish the multiple classifiers using least squares support vector machine (LSSVM). The results confirm the effectiveness of the proposed method, and the method can provide some useful references for the characteristic analysis and pattern recognition of the similar hydraulic pressure signals.
WANG Xin-qing;WANG Dong;ZHAO Yang ZHU Hui-jie XIE Quan-min.
Research on automatic measurement and recognition of oil pressure signals of load simulation system[J]. Journal of Vibration and Shock, 2013, 32(2): 44-49
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