A Hydraulic Pump Fault Diagnosis Method Based on the Modified Ensemble Empirical Mode Decomposition and Wavelet Kernel Extreme Learning Machine Methods

A Hydraulic Pump Fault Diagnosis Method Based on the Modified Ensemble Empirical Mode Decomposition and Wavelet Kernel Extreme Learning Machine Methods

To address the problem that the faults in axial piston pumps are complex and difficult to effectively diagnose, an integrated hydraulic pump fault diagnosis method based on the modified ensemble empirical mode decomposition (MEEMD), autoregressive (AR) spectrum energy, and wavelet kernel extreme lea...

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Bibliographic Details
Main Authors: Zhenbao Li, Wanlu Jiang, Sheng Zhang, Yu Sun, Shuqing Zhang
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
hydraulic pump
fault diagnosis
modified ensemble empirical mode decomposition (MEEMD)
wavelet kernel extreme learning machine (WKELM)
Online Access:https://www.mdpi.com/1424-8220/21/8/2599

Internet

https://www.mdpi.com/1424-8220/21/8/2599

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