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Fault Prognosis of Hydraulic Pump Based on Bispectrum Entropy and Deep Belief Network Cover

Fault Prognosis of Hydraulic Pump Based on Bispectrum Entropy and Deep Belief Network

Measurement Science Review
Volume 19 (2019): Issue 5 (October 2019)
By: Hongru Li,  Zaike Tian,  He Yu and  Baohua Xu  
Open Access
|Oct 2019

Authors

Hongru Li

lihr168@sohu.com

Army Engineering University, Shijiazhuang, China

Zaike Tian

Army Engineering University, Shijiazhuang, China
Joint Logistics College, National Defence University, Beijing, China

He Yu

Army Engineering University, Shijiazhuang, China

Baohua Xu

Army Engineering University, Shijiazhuang, China
DOI: https://doi.org/10.2478/msr-2019-0025 | Journal eISSN: 1335-8871
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Language: English
Page range: 195 - 203
Submitted on: Feb 6, 2019
|
Accepted on: Aug 30, 2019
|
Published on: Oct 7, 2019
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Fault prognosis,
bispectrum entropy,
DBN,
QPSO,
hydraulic pump
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2019 Hongru Li, Zaike Tian, He Yu, Baohua Xu, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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