Physics-driven feature alignment combined with dynamic distribution adaptation for three-cylinder drilling pump cross-speed fault diagnosis-Reference-Cited by-同舟云学术

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Physics-driven feature alignment combined with dynamic distribution adaptation for three-cylinder drilling pump cross-speed fault diagnosis

Published:2024-11 Issue: Volume:251 Page:110369
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Dai Menghang,Liu Zhiliang,Wang Jinrui,Zuo Mingjian

Funder

Key Research and Development Program of Sichuan Province

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

Publisher

Elsevier BV

Reference38 articles.

1. A CNN model based on innovative expansion operation improving the fault diagnosis accuracy of drilling pump fluid end;Li;Mech Syst Signal Process,2023

2. Common accidents in drilling construction and its treatment methods;Wang;Value Eng,2013

3. Label recovery and trajectory designable network for transfer fault diagnosis of machines with incorrect annotation;Yang;IEEECAA J Autom Sin,2024

4. A data indicator-based deep belief networks to detect multiple faults in axial piston pumps;Wang;Mech Syst Signal Process,2018

5. An integrated approach based on improved CEEMDAN and LSTM deep learning neural network for fault diagnosis of reciprocating pump;Bie;IEEE Access,2021

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