Chiller sensor fault diagnosis based on circle mapping and adaptive t-distribution Runge–Kutta algorithm optimized LSTM

Yuzhe Wang; Jinglong Liu; Feiyu Liu; Xiaodong Duan

doi:10.1038/s41598-025-30372-z

Chiller sensor fault diagnosis based on circle mapping and adaptive t-distribution Runge–Kutta algorithm optimized LSTM

Y Yuzhe Wang (Department of Materials Science and Engineering) J Jinglong Liu F Feiyu Liu (Beijing National Laboratory for Molecular Science, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering) X Xiaodong Duan

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 16, Issue 1

Published January 06, 2026

DOI 10.1038/s41598-025-30372-z

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (4)

Y

Yuzhe Wang

Department of Materials Science and Engineering

J

Jinglong Liu

F

Feiyu Liu

Beijing National Laboratory for Molecular Science, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering

X

Xiaodong Duan

Chiller sensor fault diagnosis based on circle mapping and adaptive t-distribution Runge–Kutta algorithm optimized LSTM

Article Details

Journal Info

Authors (4)

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