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Entropy
Volume 26
Issue 9
10.3390/e26090721
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Article

Research on a Transformer Vibration Fault Diagnosis Method Based on Time-Shift Multiscale Increment Entropy and CatBoost

by
Haikun Shang
*,
Tao Huang
,
Zhiming Wang
,
Jiawen Li
and
Shen Zhang
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, China
*
Author to whom correspondence should be addressed.
Entropy 2024, 26(9), 721; https://doi.org/10.3390/e26090721
Submission received: 7 June 2024 / Revised: 26 July 2024 / Accepted: 20 August 2024 / Published: 23 August 2024
(This article belongs to the Special Issue Entropy Applications in Condition Monitoring and Fault Diagnosis)
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Abstract

A mechanical vibration fault diagnosis is a key means of ensuring the safe and stable operation of transformers. To achieve an accurate diagnosis of transformer vibration faults, this paper proposes a novel fault diagnosis method based on time-shift multiscale increment entropy (TSMIE) combined with CatBoost. Firstly, inspired by the concept of a time shift, TSMIE was proposed. TSMIE effectively solves the problem of the information loss caused by the coarse-graining process of traditional multiscale entropy. Secondly, the TSMIE of transformer vibration signals under different operating conditions was extracted as fault features. Finally, the features were sent into the CatBoost model for pattern recognition. Compared with different models, the simulation and experimental results showed that the proposed model had a higher diagnostic accuracy and stability, and this provides a new tool for transformer vibration fault diagnoses.
Keywords: transformer; vibration signal; time-shift multiscale increment entropy; CatBoost; fault diagnosis transformer; vibration signal; time-shift multiscale increment entropy; CatBoost; fault diagnosis

Share and Cite

MDPI and ACS Style

Shang, H.; Huang, T.; Wang, Z.; Li, J.; Zhang, S. Research on a Transformer Vibration Fault Diagnosis Method Based on Time-Shift Multiscale Increment Entropy and CatBoost. Entropy 2024, 26, 721. https://doi.org/10.3390/e26090721

AMA Style

Shang H, Huang T, Wang Z, Li J, Zhang S. Research on a Transformer Vibration Fault Diagnosis Method Based on Time-Shift Multiscale Increment Entropy and CatBoost. Entropy. 2024; 26(9):721. https://doi.org/10.3390/e26090721

Chicago/Turabian Style

Shang, Haikun, Tao Huang, Zhiming Wang, Jiawen Li, and Shen Zhang. 2024. "Research on a Transformer Vibration Fault Diagnosis Method Based on Time-Shift Multiscale Increment Entropy and CatBoost" Entropy 26, no. 9: 721. https://doi.org/10.3390/e26090721

APA Style

Shang, H., Huang, T., Wang, Z., Li, J., & Zhang, S. (2024). Research on a Transformer Vibration Fault Diagnosis Method Based on Time-Shift Multiscale Increment Entropy and CatBoost. Entropy, 26(9), 721. https://doi.org/10.3390/e26090721

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