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Application of machine learning methods in fault detection and classification of power transmission lines: a survey
The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …
techniques to prevent undesired interruptions and expenses. One of the most important part …
[HTML][HTML] Real-time sensing and fault diagnosis for transmission lines
Protection of high voltage transmission lines is one of the crucial problems in the power
system engineering. Accurate and timely detection and identification of transmission line …
system engineering. Accurate and timely detection and identification of transmission line …
Simulating makeup through physics-based manipulation of intrinsic image layers
We present a method for simulating makeup in a face image. To generate realistic results
without detailed geometric and reflectance measurements of the user, we propose to …
without detailed geometric and reflectance measurements of the user, we propose to …
Protection scheme for power transmission lines based on SVM and ANN considering the presence of non‐linear loads
The proliferation of non‐linear loads in recent times has a strong bearing on power quality
due to the presence of harmonics in the power system. Harmonics lead to erroneous …
due to the presence of harmonics in the power system. Harmonics lead to erroneous …
Fast current-only based fault detection method in transmission line
When a fault occurs in transmission lines, first, it is detected, then classified, and finally,
located by a distance protection. Having a fast fault detection approach helps saving the …
located by a distance protection. Having a fast fault detection approach helps saving the …
[HTML][HTML] On the protection of power system: Transmission line fault analysis based on an optimal machine learning approach
Transmission lines (TLs) of power networks are often encountered with a number of faults.
To continue normal operation and reduce the damage due to the TL faults, it is a must to …
To continue normal operation and reduce the damage due to the TL faults, it is a must to …
Generalized fault diagnosis method of transmission lines using transfer learning technique
Recent artificial intelligence-based methods have shown great promise in the use of neural
networks for real-time detection of transmission line faults and estimation of their locations …
networks for real-time detection of transmission line faults and estimation of their locations …
Probabilistic transmission line fault diagnosis using autonomous neural models
Fault diagnosis is a critical task when a severe disturbance is caused by insulation failure on
a transmission line. Fault diagnosis should be concluded as soon as possible to avoid …
a transmission line. Fault diagnosis should be concluded as soon as possible to avoid …
[HTML][HTML] Cloud based IoT solution for fault detection and localization in power distribution systems
Power restoring time in power distribution systems (PDS) can be minimized by using
efficient fault localization techniques. This paper proposes a novel, robust and scalable …
efficient fault localization techniques. This paper proposes a novel, robust and scalable …
Advance monitoring of electrical and environmental parameters of PV system: a review
The monitoring of the solar panels on periodic time is important to improve the durability
functioning of solar system. To obtain the best solar capacity of photovoltaic (PV) is feasible …
functioning of solar system. To obtain the best solar capacity of photovoltaic (PV) is feasible …