Multi-information fault feature extraction method for hydraulic pumps based on the vibration intensity
LIU Si-yuan1,2 , LI Xiao-ming1,2 , LIU Jian-xun1,2 , ZHANG Jian-jiao1,2 , ZHAO Jing-yi1,2
1.Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao, China, 066004;
2.Key Laboratory of Advanced Forging & Stamping Technology and Science (Yanshan University), Ministry of Education of China, Qinhuangdao, China, 066004
The single information fault feature extraction usually shows the fuzziness and incompleteness, so that the working state of hydraulic pumps can not be evaluated accurately. Therefore, a multisensor information feature extraction method based on the vibration intensity theory was proposed. By means of the physical quantity conversion method, the filtered flow signals and pressure signals at the pump outlet were converted into speed signals and acceleration signals respectively. By using the frequency domain calculation method for the vibration intensity, the intensity factors of vibration, flow and pressure signals were extracted and the sensitivity of the intensity characteristic factors was analysed. The wear failure of a slipper was taken as an example ,and it is found the intensity factor is quite sensitive to faults. The study is of significance to increase the completeness of information and improve the accuracy of state assessment.
刘思远1,2李晓明1,2刘建勋1,2张建姣1,2赵静一1,2. 基于振动烈度的液压泵故障多信息特征提取方法研究[J]. 振动与冲击, 2018, 37(14): 269-276.
LIU Si-yuan1,2 LI Xiao-ming1,2 LIU Jian-xun1,2 ZHANG Jian-jiao1,2 ZHAO Jing-yi1,2. Multi-information fault feature extraction method for hydraulic pumps based on the vibration intensity. JOURNAL OF VIBRATION AND SHOCK, 2018, 37(14): 269-276.
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