Deep-learning-based fault classification using Hilbert–Huang transform and convolutional neural network in power distribution systems
MF Guo, NC Yang, WF Chen - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Fault classification is important for the fault cause analysis and faster power supply
restoration. A deep-learning-based fault classification method in small current grounding …
restoration. A deep-learning-based fault classification method in small current grounding …
Hybrid CNN-LSTM approaches for identification of type and locations of transmission line faults
Timely and accurate detection of transmission line faults is one of the most important issues
in the reliability of the power systems. In this paper, in order to assess the effects of …
in the reliability of the power systems. In this paper, in order to assess the effects of …
Mathematical morphology-based feature-extraction technique for detection and classification of faults on power transmission line
The permanency of highly-reliable power supply is a core trait of an electric power
transmission network. A transmission line is the main part of this network through which …
transmission network. A transmission line is the main part of this network through which …
Wigner distribution function and alienation coefficient‐based transmission line protection scheme
This study presents an algorithm for detection, classification, and location of transmission
line faults. A fault index based on features extracted from current signals using the alienation …
line faults. A fault index based on features extracted from current signals using the alienation …
A novel protection scheme for multi-terminal transmission lines based on wavelet transform
Identification of the fault section and fault phase selection are considered the main tasks of a
multi-terminal transmission line protection scheme. The current study classifies the methods …
multi-terminal transmission line protection scheme. The current study classifies the methods …
PSD based high impedance fault detection and classification in distribution system
S Roy, S Debnath - Measurement, 2021 - Elsevier
The recent progress in the area of signal processing has led to the development of
intelligent schemes for fault classification and faulty phase selection in distribution system …
intelligent schemes for fault classification and faulty phase selection in distribution system …
k-NN based fault detection and classification methods for power transmission systems
This paper deals with two new methods, based on k-NN algorithm, for fault detection and
classification in distance protection. In these methods, by finding the distance between each …
classification in distance protection. In these methods, by finding the distance between each …
Discrete wavelet transform-based triggering method for single-phase earth fault in power distribution systems
C Lin, W Gao, MF Guo - IEEE Transactions on Power Delivery, 2019 - ieeexplore.ieee.org
Earth faults occur frequently in power distribution systems and they are usually
accompanied by an arc. This is a big hazard to the power distribution systems. Effective …
accompanied by an arc. This is a big hazard to the power distribution systems. Effective …
Power system event classification and localization using a convolutional neural network
Detection and timely identification of power system disturbances are essential for situation
awareness and reliable electricity grid operation. Because records of actual events in the …
awareness and reliable electricity grid operation. Because records of actual events in the …
Phase angle-based fault detection and classification for protection of transmission lines
Fault detection in transmission network is conventionally done by distance relays. Generally,
these relays mal-operate during power swings, load encroachment, and High Impedance …
these relays mal-operate during power swings, load encroachment, and High Impedance …