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 …
Diagnosis of the three-phase induction motor using thermal imaging
A Glowacz, Z Glowacz - Infrared physics & technology, 2017 - Elsevier
Three-phase induction motors are used in the industry commonly for example woodworking
machines, blowers, pumps, conveyors, elevators, compressors, mining industry, automotive …
machines, blowers, pumps, conveyors, elevators, compressors, mining industry, automotive …
A novel SVM based adaptive scheme for accurate fault identification in microgrid
Microgrids, which include distributed energy resources, provide a more reliable power
supply. However, despite the fast advancements in microgrid protection, the microgrid's …
supply. However, despite the fast advancements in microgrid protection, the microgrid's …
Transient fault detection and location in power distribution network: A review of current practices and challenges in Malaysia
SH Asman, NF Ab Aziz, UA Ungku Amirulddin… - Energies, 2021 - mdpi.com
An auto-restoration tool to minimize the impact of faults is one of the critical requirements in
a power distribution system. A fault-monitoring system is needed for practical remote …
a power distribution system. A fault-monitoring system is needed for practical remote …
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 …
[HTML][HTML] Enhancing the performance of motor imagery classification to design a robust brain computer interface using feed forward back-propagation neural network
This paper proposes a feed forward back-propagation neural network (FFBPNN) based
method to enhance the performance of the motor imagery classification. The dataset …
method to enhance the performance of the motor imagery classification. The dataset …
The use of artificial neural network for low latency of fault detection and localisation in transmission line
One of the most critical concerns in power system reliability is the timely and accurate
detection of transmission line faults. Therefore, accurate detection and localisation of these …
detection of transmission line faults. Therefore, accurate detection and localisation of these …
Transmission line fault classification using modified fuzzy Q learning
The authors propose an adaptive, self‐learning fault classifier based on modified fuzzy Q
learning (MFQL) for transmission lines. Proposed MFQL fault classifier is able to achieve …
learning (MFQL) for transmission lines. Proposed MFQL fault classifier is able to achieve …
Fault location estimation for series-compensated double-circuit transmission line using parameter optimized variational mode decomposition and weighted P-norm …
In this paper, both the proposed parameter optimized variational mode decomposition
(POVMD) and weighted P-norm random vector functional link network (WPRVFLN) are …
(POVMD) and weighted P-norm random vector functional link network (WPRVFLN) are …
Wavelet-alienation based protection scheme for multi-terminal transmission line
This paper presents a wavelet-alienation based protection scheme for multi-terminal
transmission system. The proposed algorithm makes use of wavelet transform based …
transmission system. The proposed algorithm makes use of wavelet transform based …