Rule-based reasoning for transformer fault diagnosis
Multi-agent and knowledge-based system for power transformer fault diagnosis
... intelligent reasoning. In case of the fault diagnosis, three types of knowledge-based system with different abilities are ...the rule-based reasoning was applied as a ...
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A Fuzzy Reasoning Method in Fault Diagnosis of House Transformer Simulating System
... House Transformer from a hydro-electric factory are performed and efficiency of the fuzzy fault diagnosis method is ...main transformer system, unit relay protection and system, automatic ...
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Power Transformer Fault Diagnosis based on Deep Learning
... in fault diagnosis of the power transformer has just ...the fault mechanism of the power transformer is complex, the thesis studies its fault diagnosis methods mainly via ...
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Power Transformer Fault Diagnosis Using Fuzzy Reasoning Spiking Neural P Systems
... fuzzy reasoning spiking neural P systems (FRSN P systems), formally introduced by Hong Peng 2013 [23], which are a class of SN P systems with distributed and parallel computing ...power transformer faults ...
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Fault diagnosis of power transformer based on chemical properties of insulation oil
... Power Transformer, Dissolved gas analysis, Support vector machine, Multi class ...INTRODUCTION Transformer acts as a link between generating station and at the point of ...of transformer is very ...
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Transformer Fault Diagnosis Method Based on Dynamic Weighted Combination Model
... the transformer faults and the fault mechanism, as a result a single diagnostic method usually have its limitations and there will be a diagnostic blind area to produce false positives or false negatives, ...
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Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer
... power transformer can result in serious power system issues. So fault diagnosis for power transformer is highly important to ensure an uninterrupted power ...of transformer, uncertain ...
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Fault diagnosis and process monitoring through model-based case based reasoning
... the fault detection and isolation based on the residual generation coupled with a case based reasoning ...Case Based Reasoning system in order to discriminate the possible faults ...
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Transformer Fault Diagnosis Based on Support Vector Machine and Cat Swarm Optimization
... method based on ...power transformer fault, the real data sets are ...and diagnosis accuracy of ...the fault diagnosis of power transformer, there still remain some ...
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A New Transformer Fault Diagnosis Method Based on Classified Deep Auto encoder Network
... 3. Transformer fault diagnosis model based on ...the transformer was adopted and the data is clustered by DBSCAN ...type fault transformer were used as the fine-tuning set ...
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Power transformer fault diagnosis based on noise detection using clustering and classifier ensemble
... the diagnosis of transformer errors, according to the analysis of the gases in the transformer oil (DGA) based on the clustering ensemble and classification and the calculation of its ...
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Modeling Analysis of Power Transformer Fault Diagnosis Based on Improved Relevance Vector Machine
... power transformer fault ...power transformer oil, fault diagnosis models are established based on RVM in the ...Through fault diagnosis for several kinds of power ...
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Research on Fault Diagnosis Based on Dynamic causality diagram and Fuzzy Reasoning Fusion Method
... on Fault Diagnosis Based on Dynamic causality diagram and Fuzzy Reasoning Fusion Method Yinkai WANG, Hongguo CHEN, Zhiming ZHAN Abstract: With the progress of urbanization, the demand for ...
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A Hierarchical Model-Based Reasoning Approach for Fault Diagnosis in Multi-Platform Space Systems
... 1.2, fault diagnosis is considered to be an integral part of an IVHM system which aims to identify the root cause of faults and performance ...existing fault diagnosis schemes are consistent ...
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Large Power Transformer Fault Diagnosis and Prognostic Based on DBNC and D S Evidence Theory
... are fault diagnosis, fault prognostic and condition-based maintenance ...of fault diagnosis is to diagnose and identify the root causes of transformer failure; the root ...
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Incipient Fault Diagnosis in Power Transformer based on Dissolved Gas Analysis by Artificial Neural Network
... power transformer conditions plays crucial role to prevent incipient fault failures, to achieve reliability, efficiency and to enhance the transformer life ...transformers. Fault ...
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Oil-immersed Power Transformer Internal Fault Diagnosis Research Based on Probabilistic Neural Network
... power transformer is one of the key devices in power ...reduce transformer failures with precautionary ...in transformer fault ...Oil-immersed transformer internal faults are predicted ...
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Artificial Intelligence Tools Aided decision for Power Transformer Fault Diagnosis
... tools based on DGA ...for transformer fault diagnosis using dissolved gas ...selection based on competitive learning and neural fuzzy ...fuzzy rule base for the identification of ...
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Fuzzy reasoning spiking neural P system for fault diagnosis
... for fault diagnosis, called fuzzy reasoning spiking neural P systems (FRSN P sys- ...fuzzy diagnosis knowledge base and effectively model the corresponding dynamic reasoning behavior ...
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A Novel Method of Transformer Fault Diagnosis Based on Extension Theory and Information Fusion in Wireless Sensor Networks
... power transformer timely, efficiently and remotely by virtue of the sensor nodes placed in transformer oil, gathering the real-time data of the dissolved multi-component gases in ...diagnose ...
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