A fault diagnosis method of double-layer LSTM for 10 kV single-core cable based on multiple observable electrical quantities

Chi, Peng; Zhang, Zhe; Liang, Rui; Hu, Yihua; Ni, Kai; Li, Wei

doi:10.1007/s00202-021-01324-3

Cited by 4 publications

(2 citation statements)

References 23 publications

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“…This computer to read the temperature information regularly. When the master computer receives the instruction, it uploads the data saved in the SRAM previously read from the collector to the host computer [14]. When the host completes the transmission, the host will read the temperature information to the collector, the collector received the instruction, the information stored in the SRAM to the host.…”

Section: A Hardware Architecturementioning

confidence: 99%

Research on Fault Diagnosis Algorithm of Power Cable Based on Deep Learning

Kai Wu

2024

jes

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The self-learning method is used to realize the online monitoring of optical cable after the fault occurs. According to the fuzzy characteristic of cable fault, a fuzzy basis function network is constructed which is similar to nonlinear function. Thus, the dynamic characteristics of the cable system are obtained. Then, this paper iterates each additional sample to realize the learning of the center point and radial of the network. A normal multivariable fuzzy distribution is used to determine the expected output of the new sample, and recursive operations are performed on the matrix and covariance matrix of the original sample. In this way, all failure probability distributions at the sampling points are obtained. Finally, the hardware module of the system is designed from two aspects: the distributed short-circuit fault collecting and processing equipment and the on-line temperature measuring equipment for grounding fault. In this way, the functions of software module reset, storage and communication are realized.

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Section: A Hardware Architecturementioning

confidence: 99%

Research on Fault Diagnosis Algorithm of Power Cable Based on Deep Learning

Kai Wu

2024

jes

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“…Phase shift measurements are one of the most accurate measurements. Issues of use, implementation and practical use of phasemetry methods for research evaluation [6] and considered in [7,8].…”

Section: Problem Statementmentioning

confidence: 99%

Automatic diagnostic device with measurement of distances to damages by the combined pulse-phase method

Musiał

Horiashchenko

et al. 2021

MATEC Web Conf.

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The article is devoted to the study of the state of diagnosing the integrity of cables. The current state of diagnostics of problems of damage of cables is shown. Formulas for calculating several signals reflected from damage have been removed. To ensure the automation of the measurement process, based on the functional diagram of the automatic diagnostic device with measurement of distances to damage by the combined pulse-phase method, a block diagram of an automated distance meter to damage was developed, which allows measuring the investigated cable in automatic mode. This reduces the loss of time to perform measurement operations and ensure the required sequence of actions without the participation of the operator.

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Robot dynamics-based cable fault diagnosis using stacked transformer encoder layers

Kim

2024

Electr Eng

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A fault diagnosis method of double-layer LSTM for 10 kV single-core cable based on multiple observable electrical quantities

Cited by 4 publications

References 23 publications

Research on Fault Diagnosis Algorithm of Power Cable Based on Deep Learning

Research on Fault Diagnosis Algorithm of Power Cable Based on Deep Learning

Automatic diagnostic device with measurement of distances to damages by the combined pulse-phase method

Robot dynamics-based cable fault diagnosis using stacked transformer encoder layers

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