Monitoring of the transmission line galloping with a novel distributed optical fibre sensor and its statistical data analysis

Wu, Huijuan; Tang, Bo; Xiao, Yao; Qiu, Haoyu; Zheng, Yi; Rao, Yunjiang

doi:10.1049/iet-gtd.2018.6802

Cited by 11 publications

(5 citation statements)

References 18 publications

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“…In formula (7) and formula (8), I m_fit_max and I m_fit_min are the maximum value and minimum value of I m_fit in formula (6), respectively. Ulteriorly, Dm is used to subtract DC component and am is used to normalize AC component, and the interference phase signal θ(t) is obtained by differential and integral operations in NPS operation finally.…”

Section: Article Pubsaiporg/aip/advmentioning

confidence: 99%

“…4 When parts of the power transmission line are in a swaying state, it can easily lead to line damage, resulting in power outages and tripping accidents. 5 To prevent transmission line accidents, real-time health monitoring of high-frequency prone areas can estimate the current motion and stress status of the optical cable, 6,7 providing a successful case for line deicing prevention. Initially, engineers utilized electronic sensing and image acquisition to analyze the operation of the OPGW.…”

Section: Introductionmentioning

confidence: 99%

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High precision three-dimensional ellipse fitting correction for galloping monitoring

Ma,

Zhang,

Dai

et al. 2024

AIP Advances

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In this paper, we propose and demonstrate a high precision three-dimensional (3D) ellipse fitting correction method for optical fiber composite overhead ground wire (OPGW) galloping monitoring, based on weak fiber Bragg grating array. 3D ellipse formed by three outputs of the system is fitted by the coordinate rotation and least square methods, and direct current (DC) components and alternate current (AC) component coefficients of the three outputs are obtained. By differentiating and cross-multiplying the three outputs, those DC components are zeroized, AC component coefficients are normalized, and finally, the interference phase signal is calculated. The experimental results show that the proposed method can demodulate the vibration signals better, and the fitted R2 is above 0.99. The system is implemented on a 220 kV transmission line in the plateau region of Western China, forecasting a galloping period with a wavelength of about 60 m within the span accurately. This method demonstrates suitability for monitoring OPGW transmission line galloping events.

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Section: Article Pubsaiporg/aip/advmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High precision three-dimensional ellipse fitting correction for galloping monitoring

Ma,

Zhang,

Dai

et al. 2024

AIP Advances

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“…processing methods, and real-time monitoring [2]. It has been widely applied in critical areas, such as bridge structure safety monitoring [3], oil and gas pipeline monitoring [4], and submarine cable monitoring [5]. Safety monitoring in the power industry is one of the main areas of DAS applications [6].…”

Section: Introductionmentioning

confidence: 99%

Fault identification method based on generative adversarial network in distributed acoustic sensing

Shang

Wang

Huang

et al. 2023

Meas. Sci. Technol.

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With the rapid development of machine learning and deep learning, neural-network-based pattern recognition techniques have become a trend for distributed acoustic sensing (DAS) systems. However, in some cases, certain types of data are difficult to obtain, which leads to imbalanced sample sets. To solve this problem, a data augmentation method based on a generative adversarial network is proposed in this study. First, normal operation samples, including the normal operation training and testing sets are collected using the DAS system. The cyclegan algorithm is then used to generate fault operation samples, a part of which can be selected as the fault operation training set, whereas the others can be viewed as the fault operation testing set. Furthermore, an effective method of data augmentation, called k-means clustering-synthetic minority oversampling technique deep convolutional generative adversarial network (kS-DCGAN), is proposed to enhance the fault operation training set. Finally, the proposed method is applied to the on-load tap-changer (OLTC), and the experimental results show that the average accuracy of the validation set for the classification task can reach 97%.

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“…There are a lot of transmission lines in the distribution IoT (Internet of Things) in electricity [1], which suffer from ice accretion [2], lightning strike [3], galloping [4] and so on during operation. Temperature can effectively reflect the running state of the overhead lines, which needs to be monitored.…”

Section: Introductionmentioning

confidence: 99%

A Brillouin scattering-based fast temperature measurement method for ADSS of distribution IoT in electricity

Yang

Chen

2022

J. Phys.: Conf. Ser.

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In order to decrease time of temperature measurement for optical fiber in ADSS (all-dielectric self-supporting cable) of distribution IoT (Internet of Things) in electricity, the slope-assisted method is applied to its temperature demodulation. According to the introduction of the Brillouin scattering-based optical fiber temperature measurement method, the basic principle of Brillouin frequency shift measurement method based on the spectra fitting algorithm and the slope-assisted method is analyzed. Based on simulated Brillouin spectra with different signal-to-noise ratios (SNRs), the measurement time and accuracy of the spectra fitting algorithm and the slope-assisted method are compared. The results indicate that when if the SNR of Brillouin spectra is not less than 35 dB, the mean error of temperature measurement by the slope-assisted method is less than 0.5°C, which is slightly larger than the error of the spectra fitting algorithm, but the spectra measurement time is only 1/17 of that of the latter.

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Monitoring of the transmission line galloping with a novel distributed optical fibre sensor and its statistical data analysis

Cited by 11 publications

References 18 publications

High precision three-dimensional ellipse fitting correction for galloping monitoring

High precision three-dimensional ellipse fitting correction for galloping monitoring

Fault identification method based on generative adversarial network in distributed acoustic sensing

A Brillouin scattering-based fast temperature measurement method for ADSS of distribution IoT in electricity

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