Intelligent diagnosis of resistance variant multiple fault locations of mine ventilation system based on ML-KNN

Dong Wang; Jian Liu; Lijun Deng; Honglin Wang

doi:10.1371/journal.pone.0275437

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Open Access

Peer-reviewed

Research Article

Intelligent diagnosis of resistance variant multiple fault locations of mine ventilation system based on ML-KNN

Dong Wang,

Roles Formal analysis, Writing – original draft, Writing – review & editing

Affiliations College of Safety Science & Engineering, Liaoning Technical University, Huludao, Liaoning, China, Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao, Liaoning, China
⨯
Jian Liu ,

Roles Conceptualization, Funding acquisition, Writing – review & editing

* E-mail: liujian@lntu.edu.cn

Affiliations College of Safety Science & Engineering, Liaoning Technical University, Huludao, Liaoning, China, Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao, Liaoning, China

https://orcid.org/0000-0002-5076-6421

⨯
Lijun Deng,

Roles Funding acquisition, Software, Validation

Affiliations College of Safety Science & Engineering, Liaoning Technical University, Huludao, Liaoning, China, Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao, Liaoning, China
⨯
Honglin Wang

Roles Data curation

Affiliations College of Safety Science & Engineering, Liaoning Technical University, Huludao, Liaoning, China, Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao, Liaoning, China
⨯

Intelligent diagnosis of resistance variant multiple fault locations of mine ventilation system based on ML-KNN

Dong Wang,
Jian Liu,
Lijun Deng,
Honglin Wang

Published: September 30, 2022
https://doi.org/10.1371/journal.pone.0275437

About the Authors

Dong Wang

Roles Formal analysis, Writing – original draft, Writing – review & editing

Affiliations College of Safety Science & Engineering, Liaoning Technical University, Huludao, Liaoning, China, Key Laboratory of Mine Thermo-Motive Disaster & Prevention, Ministry of Education, Huludao, Liaoning, China

Jian Liu

Roles Conceptualization, Funding acquisition, Writing – review & editing

* E-mail: liujian@lntu.edu.cn

https://orcid.org/0000-0002-5076-6421

Lijun Deng

Roles Funding acquisition, Software, Validation

Honglin Wang

Roles Data curation

Competing Interests

The authors have declared that no competing interests exist.

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Machine learning algorithms
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Artificial intelligence
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Machine learning
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Electrical faults
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Wind
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Genetic algorithms
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