Results 21 to 30 of about 14,646 (305)
Embedded intelligence for electrical network operation and control [PDF]
, 2011 Integrating multiple types of intelligent, mulitagent data analysis within a smart grid can pave the way for flexible, extensible, and robust solutions to power network ...
Catterson, Victoria +2 more
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On-line transformer condition monitoring through diagnostics and anomaly detection [PDF]
, 2009 This paper describes the end-to-end components of an on-line system for diagnostics and anomaly detection. The system provides condition monitoring capabilities for two in- service transmission transformers in the UK.
Catterson, V.M. +3 more
core +1 more source
Research on mechanical fault diagnosis method of power transformer winding
The Journal of Engineering, 2018 Today, the accuracy of the fault mechanical diagnosis of transformer winding is low and the fault types cannot be judged, this study proposes a machine condition diagnosis method of transformer winding based on the combination of short-circuit reactance ...
Zhang Bin +4 more
doaj +1 more source
Evaluation of Lightning Impulse Test by Frequency Response Analysis [PDF]
, 2006 In this work are presented the basis for improving the interpretation of transformer lightning impulse test and the development of a graphical user interface system, which allows comparisons of time domain data and frequency response.
RamÃrez, Jorge, Valecillos, Baudilio
core +3 more sources
Improved Genetic Algorithm and XGBoost Classifier for Power Transformer Fault Diagnosis
Frontiers in Energy Research, 2021 Power transformer is an essential component for the stable and reliable operation of electrical power grid. The traditional transformer fault diagnostic methods based on dissolved gas analysis are limited due to the low accuracy of fault identification ...
Zhanhong Wu +4 more
doaj +1 more source
Learning models of plant behavior for anomaly detection and condition monitoring [PDF]
, 2007 Providing engineers and asset managers with a too] which can diagnose faults within transformers can greatly assist decision making on such issues as maintenance, performance and safety. However, the onus has always been on personnel to accurately decide
Brown, A.J. +5 more
core +2 more sources
Research of Transformer Intelligent Evaluation and Diagnosis Method Based on DGA
MATEC Web of Conferences, 2016 Oil chromatography analysis is the foundation of transformer fault diagnosis, In this paper, based on knowledge base of the oil chromatographic analysis, an extended research combining the improved three ratio method, BP neural network, and case-based ...
Wang Feng +3 more
doaj +1 more source
Applied Sciences, 2023 Methane is considered as a clean energy that is widely used in places with high environmental requirements. The increasing demand for methane exploration in polar and deep sea extreme environments has a positive role in carbon neutrality policies.
Kai Zhang +7 more
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Fuzzy Ontology Reasoning for Power Transformer Fault Diagnosis
Advances in Electrical and Computer Engineering, 2015 This paper presents a novel fuzzy ontology reasoner for power transformer fault diagnosis under a multi-agent framework. The developed ontology provides a comprehensive knowledge base as part of a multi-agent system to enable imprecision reasoning.
SAMIRMI, F. D., TANG, W., WU, Q.
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A Novel Extension Method for Transformer Fault Diagnosis [PDF]
IEEE Power Engineering Review, 2002 Dissolved gas analysis (DGA) is one of the most useful techniques to detect incipient faults in power transformers. However, the identification of the faulted location by the traditional method is not always an easy task due to the variability of gas data and operational variables.
openaire +1 more source