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Open Access

Peer-reviewed

Research Article

Mechanical equipment fault diagnosis method based on improved deep residual shrinkage network

Shaoming Qiu,

Roles Formal analysis, Writing – review & editing

Affiliation School of Information Engineering, Dalian University, Dalian, Liaoning, China
⨯
Liangyu Liu,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation School of Information Engineering, Dalian University, Dalian, Liaoning, China
⨯
Yan Wang ,

Roles Supervision

* E-mail: simonqsm@qq.com

Affiliation School of Information Engineering, Dalian University, Dalian, Liaoning, China

https://orcid.org/0009-0009-2476-1481

⨯
Xinchen Huang,

Roles Formal analysis, Supervision, Writing – review & editing

Affiliation School of Information Engineering, Dalian University, Dalian, Liaoning, China
⨯
Bicong E.,

Roles Funding acquisition

Affiliation School of Information Engineering, Dalian University, Dalian, Liaoning, China
⨯
Jingfeng Ye

Roles Conceptualization

Affiliation School of Information Engineering, Dalian University, Dalian, Liaoning, China
⨯

Mechanical equipment fault diagnosis method based on improved deep residual shrinkage network

Shaoming Qiu,
Liangyu Liu,
Yan Wang,
Xinchen Huang,
Bicong E.,
Jingfeng Ye

x

Published: October 28, 2024
https://doi.org/10.1371/journal.pone.0307672

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Electrical faults
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Damage mechanics
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Network analysis
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Signal to noise ratio
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Equipment
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Wavelet transforms
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