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      Partial Discharge Ultrasound Detection Using the Sagnac Interferometer System

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          Abstract

          Partial discharge detection is crucial for electrical cable safety evaluation. The ultrasonic signals frequently generated in the partial discharge process contains important characteristic information. However, traditional ultrasonic transducers are easily subject to strong electromagnetic interference in environments with high voltages and strong magnetic fields. In order to overcome this problem, an optical fiber Sagnac interferometer system is proposed for partial discharge ultrasound detection. Optical fiber sensing and time-frequency analysis of the ultrasonic signals excited by the piezoelectric ultrasonic transducer is realized for the first time. The effective frequency band of the Sagnac interferometer system was up to 175 kHz with the help of a designed 10 kV partial discharge simulator device. Using the cumulative histogram method, the characteristic ultrasonic frequency band of the partial discharges was between 28.9 kHz and 57.6 kHz for this optical fiber partial discharge detection system. This new ultrasound sensor can be used as an ideal ultrasonic source for the intrinsically safe detection of partial discharges in an explosive environment.

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          Most cited references40

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          Detection and location of partial discharges in power transformers using acoustic and electromagnetic signals

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            Detection of partial discharge in SF6 gas using a carbon nanotube-based gas sensor

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              Fiber Fabry-Perot sensors for detection of partial discharges in power transformers.

              A diaphragm-based interferometric fiberoptic sensor that uses a low-coherence light source was designed and tested for on-line detection of the acoustic waves generated by partial discharges inside high-voltage power transformers. The sensor uses a fused-silica diaphragm and a single-mode optical fiber encapsulated in a fused-silica glass tube to form an extrinsic Fabry-Perot interferometer, which is interrogated by low-coherence light. Test results indicate that these fiber optic acoustic sensors are capable of faithfully detecting acoustic signals propagating inside transformer oil with high sensitivity and wide bandwidth.
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                04 May 2018
                May 2018
                : 18
                : 5
                : 1425
                Affiliations
                [1 ]Key Laboratory of Advanced Transducers and Intelligent Control Systems (Ministry of Education and Shanxi Province), College of Physics and Optoelectronics, Taiyuan University of Technology, Taiyuan 030024, China; wangyu@ 123456tyut.edu.cn (Y.W.); wangdong@ 123456tyut.edu.cn (D.W.)
                [2 ]College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China; lixiaomin0157@ 123456link.tyut.edu.cn (X.L.); gaoyan@ 123456tyut.edu.cn (Y.G.); zhanghongjuan@ 123456tyut.edu.cn (H.Z.)
                [3 ]State Key Laboratory of Coal and CBM Co-mining, Jincheng, Shanxi 048000, China
                Author notes
                [* ]Correspondence: jinbaoquan@ 123456tyut.edu.cn ; Tel.: +86-138-3515-5702
                Author information
                https://orcid.org/0000-0002-4919-4390
                Article
                sensors-18-01425
                10.3390/s18051425
                5981839
                29734682
                6e591487-8807-4354-b41b-4b47d1aa67ae
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 March 2018
                : 30 April 2018
                Categories
                Article

                Biomedical engineering
                partial discharges,optical fiber sensor,ultrasound detection,time-frequency analysis

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