Optical Heterodyne Interferometric Sensor for Ultrasonic Detection of Partial Discharge Based on Dual-Phase Detectors

Optical fiber sensors (OFS) have been demonstrated to exhibit intrinsic safety and resistance to electromagnetic interference (EMI) that make them highly effective in partial discharge (PD) detection. In order to resolve the issue of output instability in traditional interferometric OFS and to reduce the sampling rate for real-time detection, the heterodyne interferometric PD detection method based on the dual-phase detectors (DPD) scheme has been proposed. By introducing high-frequency shifting in the reference arm and combining it with analog phase detection, real-time stable demodulation of ultrasonic signals is achieved. The DPD scheme reduces the system’s sampling rate to 1/2000 of the algorithm’s demodulation rate and effectively resolves the signal distortion issues occurring in the nonlinear region. For detection of PD signals in the typical model in the lab, amplitude detected by OFS is significantly higher than that of the Piezoelectric Transducer (PZT), with the signal-to-noise ratio (SNR) improvement of 3.6 dB. Regarding the PD detection of oil-immersed transformers in the field, the developed OFS based on DPD has achieved a 3.5 dB improvement in sensitivity for PD detection. The results demonstrate that the heterodyne interferometric method based on DPD holds profound potential in the field of PD detection in electrical equipment.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-05-05
DOI
https://doi.org/10.1109/jsen.2025.3565629
Citations
4
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
2.92

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optical Heterodyne Interferometric Sensor for Ultrasonic Detection of Partial Discharge Based on Dual-Phase Detectors

Rongbin Shi, Jun Jiang, Ruizhi Wang, Kashif Ali et al.
4 citations
IEEE Sensors Journal
Advanced Fiber Optic Sensors
2.92
article

Optical Heterodyne Interferometric Sensor for Ultrasonic Detection of Partial Discharge Based on Dual-Phase Detectors

Rongbin Shi, Jun Jiang, Ruizhi Wang, Kashif Ali, Chaoyue Zhang, Haidong Gu
article en
4 citations

Abstract

Optical fiber sensors (OFS) have been demonstrated to exhibit intrinsic safety and resistance to electromagnetic interference (EMI) that make them highly effective in partial discharge (PD) detection. In order to resolve the issue of output instability in traditional interferometric OFS and to reduce the sampling rate for real-time detection, the heterodyne interferometric PD detection method based on the dual-phase detectors (DPD) scheme has been proposed. By introducing high-frequency shifting in the reference arm and combining it with analog phase detection, real-time stable demodulation of ultrasonic signals is achieved. The DPD scheme reduces the system’s sampling rate to 1/2000 of the algorithm’s demodulation rate and effectively resolves the signal distortion issues occurring in the nonlinear region. For detection of PD signals in the typical model in the lab, amplitude detected by OFS is significantly higher than that of the Piezoelectric Transducer (PZT), with the signal-to-noise ratio (SNR) improvement of 3.6 dB. Regarding the PD detection of oil-immersed transformers in the field, the developed OFS based on DPD has achieved a 3.5 dB improvement in sensitivity for PD detection. The results demonstrate that the heterodyne interferometric method based on DPD holds profound potential in the field of PD detection in electrical equipment.

IEEE Sensors JournalVol. 25(12)
China Design Group (China) (CN), Baoshan University (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 9%
Advanced Fiber Optic Sensors
2.92
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.