Detection of Broken Strands of Transmission Line Conductors Using Fiber Bragg Grating Sensors

Transmission lines are affected by Aeolian vibration, which causes strands to break and eventually causes an entire line to break. In this paper, a method for monitoring strand breaking based on modal identification is proposed. First, the natural frequency variation of a conductor caused by strand...

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Main Authors: Long Zhao, Xinbo Huang, Jianyuan Jia, Yongcan Zhu, Wen Cao
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/7/2397
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author Long Zhao
Xinbo Huang
Jianyuan Jia
Yongcan Zhu
Wen Cao
author_facet Long Zhao
Xinbo Huang
Jianyuan Jia
Yongcan Zhu
Wen Cao
author_sort Long Zhao
collection DOAJ
description Transmission lines are affected by Aeolian vibration, which causes strands to break and eventually causes an entire line to break. In this paper, a method for monitoring strand breaking based on modal identification is proposed. First, the natural frequency variation of a conductor caused by strand breakage is analyzed, and a modal experiment of the LGJ-95/15 conductor is conducted. The measurement results show that the natural frequencies of the conductor decrease with an increasing number of broken strands. Next, a monitoring system incorporating a fiber Bragg grating (FBG)-based accelerometer is designed in detail. The FBG sensor is mounted on the conductor to measure the vibration signal. A wind speed sensor is used to measure the wind speed signal and is installed on the tower. An analyzer is also installed on the tower to calculate the natural frequencies, and the data are sent to the monitoring center via 3G. Finally, a monitoring system is tested on a 110 kV experimental transmission line, and the short-time Fourier transform (STFT) method and stochastic subspace identification (SSI) method are used to identify the natural frequencies of the conductor vibration. The experimental results show that SSI analysis provides a higher precision than does STFT and can extract the natural frequency under various wind speeds as an effective basis for discriminating between broken strands.
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spelling doaj.art-f4ab339912b74500917afba25f69f7872022-12-22T02:57:55ZengMDPI AGSensors1424-82202018-07-01187239710.3390/s18072397s18072397Detection of Broken Strands of Transmission Line Conductors Using Fiber Bragg Grating SensorsLong Zhao0Xinbo Huang1Jianyuan Jia2Yongcan Zhu3Wen Cao4School of Electro-Mechanical Engineering, Xidian University, Xi’an 710070, ChinaSchool of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, ChinaSchool of Electro-Mechanical Engineering, Xidian University, Xi’an 710070, ChinaSchool of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, ChinaSchool of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, ChinaTransmission lines are affected by Aeolian vibration, which causes strands to break and eventually causes an entire line to break. In this paper, a method for monitoring strand breaking based on modal identification is proposed. First, the natural frequency variation of a conductor caused by strand breakage is analyzed, and a modal experiment of the LGJ-95/15 conductor is conducted. The measurement results show that the natural frequencies of the conductor decrease with an increasing number of broken strands. Next, a monitoring system incorporating a fiber Bragg grating (FBG)-based accelerometer is designed in detail. The FBG sensor is mounted on the conductor to measure the vibration signal. A wind speed sensor is used to measure the wind speed signal and is installed on the tower. An analyzer is also installed on the tower to calculate the natural frequencies, and the data are sent to the monitoring center via 3G. Finally, a monitoring system is tested on a 110 kV experimental transmission line, and the short-time Fourier transform (STFT) method and stochastic subspace identification (SSI) method are used to identify the natural frequencies of the conductor vibration. The experimental results show that SSI analysis provides a higher precision than does STFT and can extract the natural frequency under various wind speeds as an effective basis for discriminating between broken strands.http://www.mdpi.com/1424-8220/18/7/2397conductorbroken strandsmodal identificationaccelerationnatural frequency
spellingShingle Long Zhao
Xinbo Huang
Jianyuan Jia
Yongcan Zhu
Wen Cao
Detection of Broken Strands of Transmission Line Conductors Using Fiber Bragg Grating Sensors
Sensors
conductor
broken strands
modal identification
acceleration
natural frequency
title Detection of Broken Strands of Transmission Line Conductors Using Fiber Bragg Grating Sensors
title_full Detection of Broken Strands of Transmission Line Conductors Using Fiber Bragg Grating Sensors
title_fullStr Detection of Broken Strands of Transmission Line Conductors Using Fiber Bragg Grating Sensors
title_full_unstemmed Detection of Broken Strands of Transmission Line Conductors Using Fiber Bragg Grating Sensors
title_short Detection of Broken Strands of Transmission Line Conductors Using Fiber Bragg Grating Sensors
title_sort detection of broken strands of transmission line conductors using fiber bragg grating sensors
topic conductor
broken strands
modal identification
acceleration
natural frequency
url http://www.mdpi.com/1424-8220/18/7/2397
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AT xinbohuang detectionofbrokenstrandsoftransmissionlineconductorsusingfiberbragggratingsensors
AT jianyuanjia detectionofbrokenstrandsoftransmissionlineconductorsusingfiberbragggratingsensors
AT yongcanzhu detectionofbrokenstrandsoftransmissionlineconductorsusingfiberbragggratingsensors
AT wencao detectionofbrokenstrandsoftransmissionlineconductorsusingfiberbragggratingsensors