A novel fault diagnosis method based on nonlinear-CWT and improved YOLOv8 for axial piston pump using output pressure signal

Axial piston pumps are key components in hydraulic systems. Their condition monitoring and fault diagnosis are essential in ensuring the safety and reliability of the entire hydraulic system. Output pressure signals are commonly used for fault diagnosis due to their sensitivity to pump health condit...

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Vydáno v:	Advanced engineering informatics Ročník 64; s. 103041
Hlavní autoři:	Xia, Shiqi, Huang, Weidi, Zhang, Jie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2025
Témata:	Bayesian algorithm Continuous wavelet transform Deep learning Fault diagnosis Horizontal deformable convolutional networks Fault diagnosis Deep learning Bayesian algorithm Horizontal deformable convolutional networks Continuous wavelet transform
ISSN:	1474-0346
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