Results 41 to 50 of about 488 (140)

Fault Prediction for Power Transformer Using Optical Spectrum of Transformer Oil and Data Mining Analysis

IEEE Access, 2020
Periodic preventive maintenance of power transformer should be conducted for its health monitoring and early fault detection. Transformer oil is a vital element where its contents and properties need to be monitored during the service life of a power ...
Nur Afini Fauzi, N. H. Nik Ali, Pin Jern Ker, Vimal Angela Thiviyanathan, Yang Sing Leong, Ahmed H. Sabry, MD. Zaini Bin Jamaludin, Chin Kim Lo, Looe Hui Mun   +8 more
doaj   +1 more source

Vibrio Community Structure Shapes the Diversity of Carbenicillin‐Hydrolysing Class A β‐Lactamase Circulating in European Coastal Environments

Environmental Microbiology, Volume 28, Issue 8, August 2026.
Vibrio communities shape carbenicillinase diversity in European coasts. Sediments serve as reservoirs of antibiotic‐resistant Vibrio alginolyticus, which can move into the water column and accumulate in bivalves. This spreads β‐lactamase resistance and raises human exposure risks to antibiotic‐resistant pathogenic Vibrio, especially as higher seawater ...
Berenice Reggiardo, Jamal Saad, Marie‐Agnès Travers, Yannick Labreuche, David Goudenège, Eve Toulza, Coralie Broquard, Karl B. Andree, Julia Mougin, Nicolas Argenta, Gaëlle Courtay, Juliette Pouzadoux, Océane Romatif, Audrey Caro, Dolors Furones, Luigi Vezzulli, Gianluca Corno, Andrea Di Cesare, Ignasi Gairin, Bruno Petton, K. Mathias Wegner, Caroline Montagnani, Viviane Boulo, Delphine Destoumieux‐Garzón   +23 more
wiley   +1 more source

IL‐33/ST2 Signaling Sustains Hepato‐Intestinal Homeostasis by Orchestrating Vascular Surveillance and Immune Regulatory Circuits During Experimental Trypanosoma cruzi Infection

The FASEB Journal, Volume 40, Issue 13, 15 July 2026.
Impairment of hepato‐intestinal homeostasis triggered by ST2 deficiency during T. cruzi infection. Within the splenic compartment, immune dysregulation is marked by a robust pro‐inflammatory polarization of the T‐cell landscape. In the liver, ST2 deficiency is associated with hepatocellular injury, increased parasite burden, and hyperalbuminemia ...
Marcelo Eduardo Cardozo, Tatyane Martins Cirilo, José Bryan da Rocha Rihs, Jorge Lucas Nascimento Souza, Isabela de Brito Duval, Ana Rafaela Antunes‐Porto, Luisa Vitor Braga do Amaral, Fernando Bento Rodrigues Oliveira, Mayra Fernanda Ricci, Laura Lis de Oliveira Santos, Lívia Fernanda Dias Santana, Luiza Pinheiro Silva, Chiara Cássia Oliveira Amorim, Gabriela Gomes Monteiro Lemos, Getulío Mota e Silva Junior, Izabela da Silva Oliveira, Marina Possa dos Reys, Ana Laura Grossi de Oliveira, Geovanni Dantas Cassali, Luisa Mourão Dias Magalhães, Lilian Lacerda Bueno, Fabiana Simão Machado, Ricardo Toshio Fujiwara   +22 more
wiley   +1 more source

A combined technique for power transformer fault diagnosis based on k‐means clustering and support vector machine

IET Nanodielectrics
This contribution presents a two‐step hybrid diagnostic approach, combining k‐means clustering for subset formation, followed by subset analysis conducted by human experts.
Arnaud Nanfak, Abdelmoumene Hechifa, Samuel Eke, Abdelaziz Lakehal, Charles Hubert Kom, Sherif S. M. Ghoneim   +5 more
doaj   +1 more source

A Dynamic Adam Based Deep Neural Network for Fault Diagnosis of Oil-Immersed Power Transformers

Energies, 2019
This paper presents a Dynamic Adam and dropout based deep neural network (DADDNN) for fault diagnosis of oil-immersed power transformers. To solve the problem of incomplete extraction of hidden information with data driven, the gradient first-order ...
Minghui Ou, Hua Wei, Yiyi Zhang, Jiancheng Tan   +3 more
doaj   +1 more source

Localizing Root Causes of Incipient Failures of Distribution Oil‐Immersed Transformer Using a Distinctive Dynamic Multi‐Scale Attention CNN‐LSTM Algorithm via Composite Multiple Data Integration for Transformer Predictive Maintenance

Engineering Reports, Volume 8, Issue 7, July 2026.
The root cause localization framework in Figure 1 is an extension of anomaly detection where further insights on incipient transformer faults or failures are analyzed. The framework aims to provide a complete diagnostic solution to detected anomalies to ensure efficient transformer maintenance while minimizing downtimes and allowing for optimal use of ...
E. Tamakloe, B. Kommey, J. J. Kponyo, D. Opoku   +3 more
wiley   +1 more source

Intelligent Fault Detection of MV/HV Transformers Using Fuzzy Logic Based on DGA

Eng
Dissolved Gas Analysis (DGA) of power system transformers has emerged as one of the most effective transformer health diagnosing tools by analyzing the gases dissolved in the insulating oil.
Lone Larona Mogotsi, Akhtar Rasool, Edwin Matlotse, Sadaqat Ali, Ahmed Ali   +4 more
doaj   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, Volume 14, Issue 7, Page 3132-3148, July 2026.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

DGA–Duval Triangle Analysis for Early Thermal Fault Diagnosis of Transformer Oil

Emitor: Jurnal Teknik Elektro
This study assesses the health of the T5 transformer oil at the Geothermal Power Plant to enable early thermal-fault diagnosis and support evidence-based maintenance.
Ali Muhtar, Ismi Azizah Umar
doaj   +1 more source

Application of Dissolved Gas Analysis in Assessing Degree of Healthiness or Faultiness with Fault Identification in Oil-Immersed Equipment

Energies, 2020
The healthiness and or faultiness of oil-immersed electrical equipment using dissolved gas characterization has remained a critical and challenging task in power systems.
George Kimani Irungu, Aloys Oriedi Akumu
doaj   +1 more source