Results 61 to 70 of about 727 (167)

Analysis of Transformer Oil Condition of Dissolved Gas Analysis (DGA) Testing Results with Modified Conventional Methods

International Journal of Electrical, Computer, and Biomedical Engineering
Power transformers are one of the most widely used important components in the electric power system. Dissolved Gas Analysis (DGA) testing is used to diagnose transformer failures before more severe damage occurs by analyzing gas indicators dissolved in transformer oil through several methods, one of which uses conventional methods.
Randy Purnawan Budhihadi, Budi Sudiarto
openaire   +1 more source

Dynamic Bayesian Network for Continuous Health Index Estimation and Condition Assessment of Power Transformers

High Voltage, Volume 11, Issue 2, Page 385-398, April 2026.
ABSTRACT To address the limitations of traditional transformer health index (HI), such as high dependence on data integrity and inability to assist in diagnosing latent faults, this study proposes an HI prediction method based on dynamic Bayesian network (DBN).
Shuaibing Li, Hongyu Li, Yi Cui, Yongqiang Kang   +3 more
wiley   +1 more source

DEVELOPMENT OF FUZZY NEURAL NETWORK FOR THE INTERPRETATION OF THE RESULTS OF DISSOLVED IN OIL GASES ANALYSIS

Electrical engineering & Electromechanics, 2017
Purpose. The purpose of this paper is a diagnosis of power transformers on the basis of the results of the analysis of gases dissolved in oil. Methodology. To solve this problem a fuzzy neural network has been developed, tested and trained. Results.
V.Е. Bondarenko, O.V. Shutenko
doaj   +1 more source

Using the Analysis of the Gases Dissolved in Oil in Diagnosis of Transformer Bushings with Paper-Oil Insulation—A Case Study

Energies, 2020
The article describes a case study when the voltage collapse during lightning impulse tests of new power transformers was noticed and when the repeated tests finished with a positive result.
Tomasz Piotrowski, Pawel Rozga, Ryszard Kozak, Zbigniew Szymanski   +3 more
doaj   +1 more source

Report of the Scientific Committee of the Spanish Agency for Food Safety and Nutrition (AESAN) on nutritional risks for women during menopause, perimenopause and postmenopause

Food Risk Assess Europe, Volume 4, Issue 2, April 2026.
Abstract Menopause is the time when a woman transitions from the reproductive stage of life to the non‐reproductive state. It is characterised by significant hormonal changes, which can affect a woman's physical, emotional, mental and social well‐being.
Irene Bretón Lesmes, Concepción María Aguilera García, Araceli Díaz Perales, Ángel Gil Izquierdo, Gema Nieto Martínez, Ana María Rivas Velasco, Virginia Arianna Aparicio García‐Molina, María Ángeles Carlos Chillerón   +7 more
wiley   +1 more source

A Hybrid Optimization Model for Transformer Fault Diagnosis Based on Gas Classification

Digital
Dissolved gas analysis (DGA) provides valuable information for transformer condition monitoring, yet accurate multi-class fault identification remains challenging due to overlapping gas patterns and the sensitivity of classifier hyperparameters.
Junju Lai, Dongpeng Weng, Feng Xian, Yuandong Xie, Yujie Chen, Qian Zhou, Chao Yuan   +6 more
doaj   +1 more source

Impact of Load Ramping on Power Transformer Dissolved Gas Analysis

IEEE Access, 2019
Dissolved gas in oil analysis (DGA) is one of the most reliable condition monitoring techniques, which is currently used by the industry to detect incipient faults within the power transformers.
Huize Cui, Liuqing Yang, Shengtao Li, Guanghao Qu, Hao Wang, Ahmed Abu-Siada, Syed Islam   +6 more
doaj   +1 more source

A Fault Diagnosis Model of Power Transformers Based on Dissolved Gas Analysis Features Selection and Improved Krill Herd Algorithm Optimized Support Vector Machine

IEEE Access, 2019
In this paper, a set of dissolved gas analysis (DGA) new feature combinations is selected as input from the mixed DGA feature quantity, and an improved krill herd (IKH) algorithm optimized support vector machine (SVM) transformer fault diagnosis model is
Yiyi Zhang, Xin Li, Hanbo Zheng, Huilu Yao, Jiefeng Liu, Chaohai Zhang, Hongbo Peng, Jian Jiao   +7 more
doaj   +1 more source

An adaptive multi-fuzzy logic model for diagnosing transformer faults using dynamic weight optimization

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Dissolved gas analysis (DGA) is crucial for diagnosing early power transformer failures. Traditional DGA interpretation methods like Duval Triangle, IEC ratio, Roger ratio, Doernenburg ratio and Key Gas are inconsistent and vary in accuracy, especially ...
Kim-Anh Nguyen, Huy Hoang Le, Ba Tu Phung   +2 more
doaj   +1 more source

Fault Diagnosis of Power Transformers With Membership Degree

IEEE Access, 2019
Power transformers are important equipment for power systems, and a dissolved gas analysis (DGA) is widely used to detect incipient faults in oil-pregnant transformers.
Enwen Li, Linong Wang, Bin Song
doaj   +1 more source