Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods
AR Abbasi - Electric Power Systems Research, 2022 - Elsevier
A challenging problem in the protection of power transformers is the fault detection and
diagnosis (FDD). FDD has an essential role in the reliability and safety of modern power …
diagnosis (FDD). FDD has an essential role in the reliability and safety of modern power …
Advances in DGA based condition monitoring of transformers: A review
Abstract Dissolved Gas Analysis (DGA) is a standout diagnostic strategy to recognise
incipient faults and monitor the condition of oil-immersed transformers. It correlates the …
incipient faults and monitor the condition of oil-immersed transformers. It correlates the …
Adaptive dynamic meta-heuristics for feature selection and classification in diagnostic accuracy of transformer faults
Detection of transformer faults avoids the transformer's undesirable loss from service and
ensures utility service continuity. Diagnosis of transformer faults is determined using …
ensures utility service continuity. Diagnosis of transformer faults is determined using …
Human activity recognition in IoHT applications using arithmetic optimization algorithm and deep learning
Nowadays, people use smart devices everywhere and for different applications such as
healthcare. The Internet of Healthcare Things (IoHT) generates enormous amounts of data …
healthcare. The Internet of Healthcare Things (IoHT) generates enormous amounts of data …
A new method for prediction of air pollution based on intelligent computation
The detection and treatment of increasing air pollution due to technological developments
represent some of the most important challenges facing the world today. Indeed, there has …
represent some of the most important challenges facing the world today. Indeed, there has …
Intelligent forecaster of concentrations (PM2. 5, PM10, NO2, CO, O3, SO2) caused air pollution (IFCsAP)
Upgrading health reality is the responsibility of all, it is necessary to think about the design of
a smart system based on modern technologies to reduce the time and effort exerted on the …
a smart system based on modern technologies to reduce the time and effort exerted on the …
An Innovative synthesis of deep learning techniques (DCapsNet & DCOM) for generation electrical renewable energy from wind energy
Renewable energy becomes one of the main resources that help the world to safety the
environment from pollution and provide the people of new type of energy; therefore, this …
environment from pollution and provide the people of new type of energy; therefore, this …
Optimal dissolved gas ratios selected by genetic algorithm for power transformer fault diagnosis based on support vector machine
J Li, Q Zhang, K Wang, J Wang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Dissolved gas analysis (DGA) of oil is used to detect the incipient fault of power
transformers. This paper presents a new approach for transformer fault diagnosis based on …
transformers. This paper presents a new approach for transformer fault diagnosis based on …
[HTML][HTML] Codon-mRNA prediction using deep optimal neurocomputing technique (DLSTM-DSN-WOA) and multivariate analysis
ZA Kadhuim, S Al-Janabi - Results in Engineering, 2023 - Elsevier
Based on the principle that the upgrading of any nation begins by raising the level of
performance of its institutions that serve the community, including the Ministry of Healthcare …
performance of its institutions that serve the community, including the Ministry of Healthcare …
Dynamic fault prediction of power transformers based on hidden Markov model of dissolved gases analysis
J Jiang, R Chen, M Chen, W Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Dissolved gases analysis (DGA) provides widely recognized practice for oil-immersed
power transformers, and it is mainly interpreted for fault diagnosis. In order to accurately …
power transformers, and it is mainly interpreted for fault diagnosis. In order to accurately …