Development of entropy measure for selecting highly sensitive WPT band to identify defective components of an axial piston pump
Author:
Publisher
Elsevier BV
Subject
Acoustics and Ultrasonics
Reference47 articles.
1. Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump;Kumar;Mech Syst Sig Process,2022
2. An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal;Tang;Eng Fail Anal,2022
3. A fault frequency bands location method based on improved fast spectral correlation to extract fault features in axial piston pump bearings;Xiao;Measurement,2021
4. Adaptive MOMEDA based on improved advance-retreat algorithm for fault features extraction of axial piston pump;Xiao;ISA Trans,2021
5. Sound quality evaluation and prediction for the emitted noise of axial piston pumps;Zhang;Appl Acoust,2019
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