论文信息 - A recognition method of plunger wear degree of plunger pump using probability neural network

A recognition method of plunger wear degree of plunger pump using probability neural network

In order to increase the diagnosis efficiency of plunger wear fault, a recognition method is developed using sensitivity analysis and probability neural network. Firstly, 17 time domain characteristics of vibration signal are extracted. Then analyzed the sensitivity of characteristics to failure to select sensitive characteristics parameters. Finally, PNN method to identify the degree of plunger wear was proposed. A hydraulic pump fault simulation experiment was designed, and validated the proposed method by experimental data. The results show that the method can quickly and effectively identify the degree of plunger wear.

Xinghui Zhang | Jianmin Zhao | Zhendong Du

[1] Liang Feng. Application of Time-Frequency Analysis Method to Start-up Process Analysis of High-Pressure Hydraulic Pump , 2003 .

[2] Yi Zhu,et al. A novel de-noising method based on discrete cosine transform and its application in the fault feature extraction of hydraulic pump , 2016 .

[3] Zhen Zhao,et al. Intermittent chaos and sliding window symbol sequence statistics-based early fault diagnosis for hydraulic pump on hydraulic tube tester , 2009 .

[4] Wu Wen-feng. Hydraulic Pump Fault Diagnosis Based on D-S Theory Evidence , 2010 .

[5] Wu Tian,et al. Fault Diagnosis Based on Wavelet Neural Network , 2012, 2012 Fifth International Conference on Intelligent Computation Technology and Automation.

[6] Yang Rui-jun. Utilize cepstrum and diagnose the early fault of the hydraulic pump , 2005 .

[7] Xu Bao-hua. Fault Diagnosis of Hydraulic Pump Based on D-S Evidence Theory and SVM , 2013 .

[8] Wang Hong,et al. Research on Fault Identification for Rolling Bearing Based on Independent Component Analysis and Probabilistic Neural Network , 2016 .