ArticleSensors (Basel, Switzerland)2020
Global Temperature Sensing for an Operating Power Transformer Based on Raman Scattering.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Inversion Method for Transformer Winding Hot Spot Temperature Based on Gated Recurrent Unit and Self-Attention and Temperature Lag.Sensors (Basel, Switzerland) · 2024Article
- Marine Structural Health Monitoring with Optical Fiber Sensors: A Review.Sensors (Basel, Switzerland) · 2023Review
- Crack Shape Coefficient: Comparison between Different DFOS Tools Embedded for Crack Monitoring in Concrete.Sensors (Basel, Switzerland) · 2023Article
- The Smart Nervous System for Cracked Concrete Structures: Theory, Design, Research, and Field Proof of Monolithic DFOS-Based Sensors.Sensors (Basel, Switzerland) · 2022Article
- Application of Thermography and Adversarial Reconstruction Anomaly Detection in Power Cast-Resin Transformer.Sensors (Basel, Switzerland) · 2022Article
- New Distributed Fibre Optic 3DSensor with Thermal Self-Compensation System: Design, Research and Field Proof Application Inside Geotechnical Structure.Sensors (Basel, Switzerland) · 2021Article
- New Hydraulic Sensor for Distributed and Automated Displacement Measurements with Temperature Compensation System.Sensors (Basel, Switzerland) · 2021Article
- Development of a Remote-Controlled Electrical Interference Vehicle with a Magnetron.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Traditional monitoring methods cannot obtain the overall thermal information for power transformers. To solve this problem, a distributed fiber optic sensor (DFOS) was creatively applied inside an operating 35 kV power transformer by highly integrating with the electromagnetic wires. Then, the transformer prototype with totally global sensing capability was successfully developed and it was qualified for power grid application through the strict ex-factory tests. The as designed optical fiber sensor works stably all the time with a temperature accuracy of ±0.2 °C and spatial positioning accuracy of 0.8 m. Based on the obtained internal temperature distribution, Gaussian convolution was further applied for the signal processing and hereby, the hotspots for all the windings and iron cores could be accurately traced. The hottest points were located at 89.1% (55 °C) of the high voltage winding height and 89.7% (77.5 °C) of the low voltage winding height. The actual precise hotspot location corrected the traditional cognition on the transformer windings and it would serve as an essential reference for the manufactures. This new nondestructive internal sensing and condition monitoring method also exhibits a promising future for the DFOS applying in the high-voltage electrical apparatus industry.
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Registered trials
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