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Article

Research on an Online Preload Detecting Method for Power Transformers Based on FBG

School of Electrical Engineering, Chongqing University, Chongqing 400044, China
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Author to whom correspondence should be addressed.
Appl. Sci. 2026, 16(2), 657; https://doi.org/10.3390/app16020657
Submission received: 3 December 2025 / Revised: 6 January 2026 / Accepted: 6 January 2026 / Published: 8 January 2026
(This article belongs to the Section Electrical, Electronics and Communications Engineering)

Abstract

This paper presents research on an online preload detecting method for power transformer windings that is highly sensitive, survivable and repeatable. Traditional frequency response analysis methods exhibit limitations in sensitivity, accuracy, and interference resistance, making it difficult to detect small loosening. Although the FBG offer superior performance, quartz optical fibers exhibit limited deformation capacity and are susceptible to damage from short circuit impacts. To identify FBG placement locations with minimal impact exposure, this study compared FBG sensors at different installation positions through 42 short circuit impacts. Results confirmed that the FBG positioned at the top of pressure board experienced the least impact damage. Subsequently, a transformer equipped with this online preload detecting system underwent 12 short circuit impact tests. Simulation results and hoisting cover findings aligned with the FBG online detecting data. This study proposes an experimentally validated online preload detecting method, providing a reliable and reproducible technical pathway for transformer condition assessment.
Keywords: FBG sensor; preload assessment; online detecting method; power transformer FBG sensor; preload assessment; online detecting method; power transformer

Share and Cite

MDPI and ACS Style

Wu, J.; Zhang, Z.; Deng, J.; Gao, Z. Research on an Online Preload Detecting Method for Power Transformers Based on FBG. Appl. Sci. 2026, 16, 657. https://doi.org/10.3390/app16020657

AMA Style

Wu J, Zhang Z, Deng J, Gao Z. Research on an Online Preload Detecting Method for Power Transformers Based on FBG. Applied Sciences. 2026; 16(2):657. https://doi.org/10.3390/app16020657

Chicago/Turabian Style

Wu, Jinbo, Zhanlong Zhang, Jun Deng, and Zhihao Gao. 2026. "Research on an Online Preload Detecting Method for Power Transformers Based on FBG" Applied Sciences 16, no. 2: 657. https://doi.org/10.3390/app16020657

APA Style

Wu, J., Zhang, Z., Deng, J., & Gao, Z. (2026). Research on an Online Preload Detecting Method for Power Transformers Based on FBG. Applied Sciences, 16(2), 657. https://doi.org/10.3390/app16020657

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