[PDF] Top 20 Multi-agent and knowledge-based system for power transformer fault diagnosis
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Multi-agent and knowledge-based system for power transformer fault diagnosis
... in transformer can arise from defects/deficiencies and develop into incipient faults of deterioration ...during transformer operation can significantly contribute in insulation ...in transformer are ... See full document
186
Incipient Fault Diagnosis in Power Transformer based on Dissolved Gas Analysis by Artificial Neural Network
... in power transformers. Fault interpretation can found to be a problem of multi-class ...model based on the proposed evolutionary algorithm, which provides the solution for complex ... See full document
9
Ontology-based fault diagnosis for power transformers
... • OWL-DL is much more expressive than OWL-Lite. OWL-DL and OWL- Lite are based on Description Logics (hence the suffix DL). Description Logics are a decidable fragment of First Order Logic and are therefore amenable ... See full document
107
Power transformer fault diagnosis based on noise detection using clustering and classifier ensemble
... Although the boosting is not algorithmic, most of the bosting-based algorithms train poor learners as repetitive ones and add to the previous set to eventually reach a strong classifier. Poor learners are weighted ... See full document
21
Transformer Fault Diagnosis Based on Support Vector Machine and Cat Swarm Optimization
... that power transformer is one of the most important and the most critical electrical equipment in the power system, its safety and reliability is related to power system security ... See full document
5
Using GSM to Detect Fault in Microcontroller Based Power Transformer
... in power transformers especially in developing countries like Nigeria where incessant power outage has being the order of the ...the transformer. A transformer is a static device that ... See full document
6
DGA Interpretation for Increasing the Percent of Accuracy by Bayesian Network Method Comparing IEC TC 10 Database
... the fault condition or any abnormality which occur in the power ...evidence based software has delivered guidelines for leading systematic procedure for ... See full document
6
Fuzzy Logic Approach for Fault Diagnosis of three Phase Transmission Line
... section diagnosis method is to identify faulted components in the power station ...units, power transformers, autotransformers, service transformers, buses and lines that based on the status ... See full document
5
Fuzzy Fault Tree Analysis for Fault Diagnosis of Cannula Fault in Power Transformer
... complex system having large number of components, the whole procedure has to be repeated again and again, thus not suitable for the fuzzy ...(FII), based Euclidean distance between two fuzzy ...Cannula ... See full document
10
Research Review and Prospect of Fault Diagnosis Method of Satellite Power System Based on Machine Learning
... Expert system fault diagnosis ...corresponding knowledge bases of fault ...out fault diagnosis through corresponding ...expert system in their researches. Shi ... See full document
7
Power Transformer Fault Diagnosis Using Fuzzy Reasoning Spiking Neural P Systems
... to fault diagnosis of power transformers dissolved and free gas analysis ...fuzzy diagnosis know- ...the power transformers faults identifications and capturing knowledge ... See full document
15
Comparative Analysis of Fault Detection in Transformers using different Fuzzy Membership Functions
... incipient power transformer fault symptom diagnosis, various conventional and Artificial Intelligence (AI) technique based methods are used ...thermal fault (<150 O C), ... See full document
6
Power Transformer Fault Diagnosis based on Deep Learning
... with multi hidden ...the fault diagnosis of the target equipment then, with the increase of the corresponding classifier, optimize the fault diagnosis ability of DBN through reverse ... See full document
7
Fault diagnosis of power transformer based on chemical properties of insulation oil
... large power transformer not only results in the loss of very expensive equipment, but it can cause significant collateral damage as ...that transformer can take up to a year if the failure is not ... See full document
6
A Survey of Different Techniques for Energy-Efficient, Reliability and Fault Tolerant in Wireless Sensor Networks
... intelligent multi agent that used mobile agent to gather data in a cluster was ...an agent each for local data processing ...in power usage and increase in packet delivery. A ... See full document
8
A Hybrid Modeling for Continuous Casting Scheduling Problem
... considering the constraints of the maximum capacity of heats and the incompatibility of slab’s width and grade. The initial solution is shown in Table 1. In this table, “slab no.” represents the preference of the slab to ... See full document
8
A Survey on E-Health Care System
... expert system was approached [29] using fuzzy rules for early detection of coronary artery ...Case Based Reasoning (CSCBR) for introducing unequal misclassification cost into case base reasoning ...learning ... See full document
5
A Knowledge Based System for Neck Pain Diagnosis
... The system currently cover the following neck diseases: Abnormalities in the bone or joints, Trauma, Poor posture, Degenerative diseases, Tumors and Muscle ...the diagnosis faster than the traditional way ... See full document
7
Sweep frequency response analysis using time frequency distribution
... the power transformer, fault diagnosis using Sweep Frequency Response Analysis (SFRA), frequency ranges used for evaluating the transformer core, type of diagnosis applied to the ... See full document
24
Microsoft Research Asia’s Systems for WMT19
... on Transformer, back translation and knowledge distillation, enhanced with our recently proposed techniques: multi-agent dual learning (MADL), masked sequence-to-sequence pre-training (MASS), ... See full document
10
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