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Deep learning-based fault classification and location for underground power cable of nuclear facilities
Worldwide, Nuclear Power Plants (NPPs) must have higher security protection and precise
fault detection systems, especially underground power cable faults, to avoid causing …
fault detection systems, especially underground power cable faults, to avoid causing …
Artificial Intelligence Assisted Smart Self‐Powered Cable Monitoring System Driven by Time‐Varying Electric Field Using Triboelectricity Based Cable Deforming …
Cable monitoring is essential for the prevention of machine malfunctions as machines are
operated dynamically. Traditional methods of cable monitoring, conducted through portable …
operated dynamically. Traditional methods of cable monitoring, conducted through portable …
Cloud Based Fault Diagnosis by Convolutional Neural Network as Time–Frequency RGB Image Recognition of Industrial Machine Vibration with Internet of Things …
The human-centric and resilient European industry called Industry 5.0 requires a long
lifetime of machines to reduce electronic waste. The appropriate way to handle this problem …
lifetime of machines to reduce electronic waste. The appropriate way to handle this problem …
An efficient cross-terms suppression method in time–frequency domain reflectometry for cable defect localization
XY Zou, HB Mu, HT Zhang, LQ Qu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Time–frequency domain reflectometry (TFDR) is a highly sensitive method to locate the
defects of cables. However, there are cross terms when a multicomponent signal is …
defects of cables. However, there are cross terms when a multicomponent signal is …
An efficient accuracy improvement method for cable defect location based on instantaneous filtering in time-frequency domain
X Zou, H Mu, R Wang, K Fan, Z Cheng, Y He, G Zhang - Measurement, 2024 - Elsevier
Time-frequency domain reflectometry is a highly sensitive method to locate cable defect.
However, locating a potential defect far from the cable head may be less accurate because …
However, locating a potential defect far from the cable head may be less accurate because …
Detection and characterization of multiple discontinuities in cables with time-domain reflectometry and convolutional neural networks
In this paper, a convolutional neural network for the detection and characterization of
impedance discontinuity points in cables is presented. The neural network analyzes time …
impedance discontinuity points in cables is presented. The neural network analyzes time …
Partial discharge detection based on optimization of optical probe and Sagnac interference
Partial discharge (PD) measurement is necessary for insulation diagnosis and usually a
required item of the maintenance procedure for most high-voltage equipment assets. Optical …
required item of the maintenance procedure for most high-voltage equipment assets. Optical …
Machine learning-based fault diagnosis for research nuclear reactor medium voltage power cables in fraction Fourier domain
Abstract Fault diagnosis of Medium Voltage power Cables (MVCs) research nuclear reactor,
incredibly inaccessible/remote ones, has to be carefully identified, located, and fixed within a …
incredibly inaccessible/remote ones, has to be carefully identified, located, and fixed within a …
Optimal Design and Development of Magnetic Field Detection Sensor for AC Power Cable
Y Liu, Y **n, Y Huang, B Du, X Huang, J Su - Sensors, 2024 - mdpi.com
The state detection of power cables is very important to ensure the reliability of the power
supply. Traditional sensors are mostly based on electric field detection. The operation is …
supply. Traditional sensors are mostly based on electric field detection. The operation is …
Validation of machine learning-aided and power line communication-based cable monitoring using measurement data
The implementation of power line communications (PLC) in smart electricity grids provides
us with exciting opportunities for real-time cable monitoring. In particular, effective fault …
us with exciting opportunities for real-time cable monitoring. In particular, effective fault …