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

Zhendong Du1, Jianmin Zhao2, Xinghui Zhang3

Mechanical Engineering College, Shijiazhuang, 050003, China

1Corresponding author

E-mail: 1du_phm@163.com, 2jm_zhao@hotmail.com, 3dynamicbnt@gmail.com

Received 2 September 2017; accepted 11 September 2017

DOI https://doi.org/10.21595/vp.2017.19101


Abstract. 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.

Keywords: plunger pump, plunger wear degree, recognition.


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Cite this article

Du Zhendong, Zhao Jianmin, Zhang Xinghui A recognition method of plunger wear degree of plunger pump using probability neural network. Vibroengineering PROCEDIA, Vol. 14, 2017, p. 45‑50.


JVE International Ltd. Vibroengineering PROCEDIA. Oct 2017, Vol. 14. ISSN 2345-0533