Researching | Fault diagnosis of piston pump based on global attention residual shrinkage network

Chinese Journal of Ship Research, Volume. 20, Issue 2, 39(2025)

Fault diagnosis of piston pump based on global attention residual shrinkage network

Xiaoqi WANG¹, Ke WU¹, Guanhui ZHAO^2,3, and Jun WU¹

Author Affiliations

¹School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

²China Ship Development and Design Center, Wuhan 430064, China

³College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

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Table 1. Description of spring failure data
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Table 1. Description of spring failure data
运行工况失效等级状态描述
5M_1500S W0 正常
W1 弹簧长度减小1 mm
W2 弹簧长度减小3.6 mm
W3 弹簧长度减小5.6 mm

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Xiaoqi WANG, Ke WU, Guanhui ZHAO, Jun WU. Fault diagnosis of piston pump based on global attention residual shrinkage network[J]. Chinese Journal of Ship Research, 2025, 20(2): 39

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Paper Information

Category: Ship Intelligent O&M, and Fault Diagnosis

Received: Jan. 18, 2024

Accepted: --

Published Online: May. 15, 2025

The Author Email:

DOI:10.19693/j.issn.1673-3185.03739

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology