A review on data‐driven learning approaches for fault detection and diagnosis in chemical processes
Fault detection and diagnosis for process plants has been an active area of research for
many years. This review presents a concise overview on supervised and unsupervised data …
many years. This review presents a concise overview on supervised and unsupervised data …
Data mining and analytics in the process industry: The role of machine learning
Data mining and analytics have played an important role in knowledge discovery and
decision making/supports in the process industry over the past several decades. As a …
decision making/supports in the process industry over the past several decades. As a …
An overview of transmission line protection by artificial neural network: fault detection, fault classification, fault location, and fault direction discrimination
Contemporary power systems are associated with serious issues of faults on high voltage
transmission lines. Instant isolation of fault is necessary to maintain the system stability …
transmission lines. Instant isolation of fault is necessary to maintain the system stability …
Fault location in loop distribution network using SVM technology
X Deng, R Yuan, Z Xiao, T Li, KLL Wang - International Journal of Electrical …, 2015 - Elsevier
The purpose of this paper is to provide a hierarchical and active fault location method in
neutral point non-effectively grounded loop distribution network. It analyzes the distribution …
neutral point non-effectively grounded loop distribution network. It analyzes the distribution …
Analysis and validation of wavelet transform based DC fault detection in HVDC system
Fault detection plays an important role in both conventional AC and upcoming DC power
systems. This paper aims to study the application of discrete wavelet transform (WT) for …
systems. This paper aims to study the application of discrete wavelet transform (WT) for …
A Novel -Means Clustering and Weighted -NN-Regression-Based Fast Transmission Line Protection
This article presents a k-means clustering and weighted k-nearest neighbor (k-NN)
regression-based algorithm for the protection of transmission line. Three-phase current …
regression-based algorithm for the protection of transmission line. Three-phase current …
[HTML][HTML] An improved fault detection classification and location scheme based on wavelet transform and artificial neural network for six phase transmission line using …
Restrictions on right of way and increasing power demand has boosted development of six
phase transmission. It offers a viable alternative for transmitting more power, without major …
phase transmission. It offers a viable alternative for transmitting more power, without major …
ICA feature extraction for the location and classification of faults in high-voltage transmission lines
Several methods for the location and classification of faults in power transmission lines
using computational intelligence and digital signal processing techniques have been …
using computational intelligence and digital signal processing techniques have been …
Low cost microcontroller based fault detector, classifier, zone identifier and locator for transmission lines using wavelet transform and artificial neural network: A …
A low cost, fast and reliable microcontroller based protection scheme using wavelet
transform and artificial neural network has been proposed and its effectiveness evaluated in …
transform and artificial neural network has been proposed and its effectiveness evaluated in …
Faulty feeder detection based on image recognition of current waveform superposition in distribution networks
J Yuan, Z Jiao - Applied Soft Computing, 2022 - Elsevier
Faulty feeder detection is essential for maintaining the security and stability of energy supply
in distribution networks. However, it is rather difficult to identify a specific faulty feeder owing …
in distribution networks. However, it is rather difficult to identify a specific faulty feeder owing …