Transformer fault diagnosis
A New Transformer Fault Diagnosis Method Based on Classified Deep Auto encoder Network
... the transformer was adopted and the data is clustered by DBSCAN ...type fault transformer were used as the fine-tuning set and the test set in 2: 1 ...the transformer fault ...
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Power transformer fault diagnosis based on noise detection using clustering and classifier ensemble
... However, transformer fault diagnosis decision-making based on dissolved and free gas analysis (DGA) diagnostic methods may give conflicting analysis results and complicate the final decision making ...
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Power Transformer Fault Diagnosis Using Fuzzy Reasoning Spiking Neural P Systems
... systems diagnosis model to deal with fault transformers based on (IEC 60599) DGA as ...the diagnosis model can be represent fuzzy production rules, dynamic reasoning algorithm and firing mechanism to ...
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Power Transformer Fault Diagnosis based on Deep Learning
... l fault diagnosis in different layers of AE The average correct rate of power transformer fault diagnosis based on CDLNN l is tested when the number of AE layers is from 0 to 10, as ...
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Transformer Fault Diagnosis Based on Support Vector Machine and Cat Swarm Optimization
... a transformer using Dissolved Gas Analysis (DGA) method is very ...their diagnosis accuracies need ...Power transformer fault diagnosis based on Dissolved Gas Analysis ...to ...
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Artificial Intelligence Tools Aided decision for Power Transformer Fault Diagnosis
... intelligent fault classification approach to power transformer dissolved gas analysis (DGA), dealing with highly versatile or noise- corrupted ...different fault classes to improve subsequent ...
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Multi-agent and knowledge-based system for power transformer fault diagnosis
... imperfect procedures of manual data entry, which is common in data collections. Missing data may be reflected as a noise in classification stage [68]. This issue should be solved before any action is performed on ...
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Artificial Intelligence Based Fault Diagnosis of Power Transformer-A Probabilistic Neural Network and Interval Type-2 Support Vector Machine Approach
... ABSTRACT: Power transformers has an important role in electrical power transmission and its interruption has financial losses, thus its condition monitoring is essential and performance of this equipment is effective for ...
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Sweep frequency response analysis using time frequency distribution
... power transformer, fault diagnosis using Sweep Frequency Response Analysis (SFRA), frequency ranges used for evaluating the transformer core, type of diagnosis applied to the power ...
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Ontology-based fault diagnosis for power transformers
... Modelling transformer thermal dynamics is regarded as one of the most essential issues and the construction of an accurate thermal model is an im- portant aspect of transformer condition ...a ...
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Detection Of Winding Deformation In TNB Distribution In Service Transformer Using Cross Correlation Co-Efficient Analysis Method
... of transformer are ...power transformer, fault diagnosis using Sweep Frequency Response Analysis (SFRA), winding deformation, frequency sub-band, Cross Correlation Coefficient (CCF) in ...
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Fault Diagnosis and Application Based on SOM Neural Network
... Fault diagnosis based on neural network can be regarded as pattern recognition ...to fault space, to achieve fault diagnosis ...for fault diagnosis, for the following ...
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A Novel Fault Identification Strategy of Electronic Transformer in Smart Substation
... electronic transformer, has become a new type of intelligent device oriented to smart grid ...electronic transformer can be inaccurate, leading to performance degradation of substation protection and ...
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Limitation of Fault Currents by Positioning of Superconducting Fault Current Limiter in AC and DC Microgrid
... the fault current due to the activity of DG in the smart ...superconducting fault current limiter (SFCL) could be applied, to protect the smart grid from increasing fault current, which has very less ...
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Monitoring of Distribution Transformer Parameters Using Plc
... currents, transformer temperatures and voltages of the Distribution transformers of substation which is one of the most important equipment in the power system ...
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Active control of DC fault currents in DC solid-state transformers during ride-through operation of multi-terminal HVDC systems
... dc fault occurs in a multi- terminal HVDC system, it is desirable that the stations and dc solid-state transformers on healthy cables continue contributing to power transfer, rather than ...the fault ...
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A New Technique For Discrimination Between Inrush Current And Fault Current In A Power Transformers
... Power Transformer Protection based on Combined Wavelet Transformer and Neural Network''; International Journal of Advanced Electrical and Electronics Engineering, (IJAEEE), Volume-2, Issue-4, 2013, pp: ...
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Online Full Text
... the transformer high voltage side and low voltage side respectively during normal operation ...power transformer as shown by equations 1-2 respectively ...
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TRANSFORMER FAULT DETECTION USING DWT-DCT
... Inrush current in transformer is checked by Fourier Transform. The second order harmonics of the Fourier transform always represents Inrush current. The peak of second harmonics will be always highest in case of ...
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Monitoring and Detection of Short Circuit Fault in Transformer
... of transformer ending will result in severe short circuit in other neighboring ...in transformer is not so far efficient to found such turn to turn ...turn fault is difficult work in entire ...
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