Partial Discharge Detection from Large Motor Stator Slots Using EFPI Sensors

Wang, Jinlong; Sun, Weizhong; Zhou, Jun; Wang, Lei; Chen, Lianfei; Chen, Pengcheng; Chen, Qichao; Zhang, Weichao

doi:10.3390/s25020357

Open AccessArticle

Partial Discharge Detection from Large Motor Stator Slots Using EFPI Sensors

by

Jinlong Wang

¹,

Weizhong Sun

¹,

Jun Zhou

¹,

Lei Wang

¹,

Lianfei Chen

¹,

Pengcheng Chen

¹,

Qichao Chen

^2,*

and

Weichao Zhang

^2,*

¹

Yunnan Electric Test & Research Institute Group Co., Ltd., Kunming 650214, China

²

School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China

^*

Authors to whom correspondence should be addressed.

Sensors 2025, 25(2), 357; https://doi.org/10.3390/s25020357

Submission received: 28 November 2024 / Revised: 30 December 2024 / Accepted: 7 January 2025 / Published: 9 January 2025

(This article belongs to the Special Issue Optical Sensors for Industrial Applications)

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Abstract

This study addresses the challenges of electromagnetic interference and unstable signal transmission encountered by traditional sensors in detecting partial discharge (PD) within stator slots of large motors. A novel Extrinsic Fabry–Perot Interferometer (EFPI) sensor with a vibration-coupling air gap was designed to enhance the narrowband resonant detection sensitivity for PD ultrasonic signals by optimizing the diaphragm structure and coupling interface. The sensor features a quartz diaphragm with a thickness of 20 μM, an effective constrained radius of 0.9 mm, a vibration-coupling air gap depth of 100 μM, and a first-order natural resonant frequency of 66 kHz. Simulation and experimental analyses revealed the distribution characteristics and propagation paths of ultrasonic signals within stator slots. The results demonstrate that the EFPI sensor effectively detects PD ultrasonic signals at its resonant frequency of 66 kHz with a localization error of less than 5 mm, meeting engineering requirements. This study provides theoretical and practical insights into the efficient detection and precise localization of insulation faults in large motor stators.

Keywords: EFPI sensor; fluid–structure interaction; partial discharge ultrasonic signals; acoustic field distribution; PD source localization

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MDPI and ACS Style

Wang, J.; Sun, W.; Zhou, J.; Wang, L.; Chen, L.; Chen, P.; Chen, Q.; Zhang, W. Partial Discharge Detection from Large Motor Stator Slots Using EFPI Sensors. Sensors 2025, 25, 357. https://doi.org/10.3390/s25020357

AMA Style

Wang J, Sun W, Zhou J, Wang L, Chen L, Chen P, Chen Q, Zhang W. Partial Discharge Detection from Large Motor Stator Slots Using EFPI Sensors. Sensors. 2025; 25(2):357. https://doi.org/10.3390/s25020357

Chicago/Turabian Style

Wang, Jinlong, Weizhong Sun, Jun Zhou, Lei Wang, Lianfei Chen, Pengcheng Chen, Qichao Chen, and Weichao Zhang. 2025. "Partial Discharge Detection from Large Motor Stator Slots Using EFPI Sensors" Sensors 25, no. 2: 357. https://doi.org/10.3390/s25020357

APA Style

Wang, J., Sun, W., Zhou, J., Wang, L., Chen, L., Chen, P., Chen, Q., & Zhang, W. (2025). Partial Discharge Detection from Large Motor Stator Slots Using EFPI Sensors. Sensors, 25(2), 357. https://doi.org/10.3390/s25020357

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Partial Discharge Detection from Large Motor Stator Slots Using EFPI Sensors

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