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Towards Precise Interpretation of Oil Transformers via Novel Combined Techniques Based on DGA and Partial Discharge Sensors

https://doi.org/10.3390/s21062223
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Implementation of three-phase transformer model in radial load-flow analysis
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Use of vegetable oils as transformer oils – a review
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Conditional probability‐based interpretation of dissolved gas analysis for transformer incipient faults
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Condition assessment of power transformers based on dissolved gas analysis
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Development of industrial scale PVC nanocomposites with comprehensive enhancement in dielectric properties
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Novel prediction‐reliability based graphical DGA technique using multi‐layer perceptron network & gas ratio combination algorithm
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inferredcites →https://doi.org/10.1109/access.2021.3063053openalex-snapshot
Robust Design of ANFIS-Based Blade Pitch Controller for Wind Energy Conversion Systems Against Wind Speed Fluctuations
inferredcites →https://doi.org/10.1109/ceidp.2003.1254893openalex-snapshot
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inferredcites →https://doi.org/10.1109/icd.2018.8468484openalex-snapshot
Impact of Nanoparticles Functionalization on Partial Discharge Activity within PVC/SiO2 Nanocomposites
inferredcites →https://doi.org/10.1109/icd.2018.8514756openalex-snapshot
Impact of Nanoparticles Functionalization on Partial Discharge Activity within PVC/SiO2 Nanocomposites
inferredcites →https://doi.org/10.1109/icemi.2017.8265771openalex-snapshot
Study on the development and test method of SnO2-based gas sensor array for dissolved gas analysis
inferredcites →https://doi.org/10.1109/ieeestd.2009.4776518openalex-snapshot
IEEE Guide for the Interpretation of Gases Generated in Oil-Immersed Transformers
inferredcites →https://doi.org/10.1109/mei.2014.6804740openalex-snapshot
A review of dissolved gas analysis measurement and interpretation techniques
inferredcites →https://doi.org/10.1109/mei.2014.6943428openalex-snapshot
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inferredcites →https://doi.org/10.1109/mepcon.2017.8301273openalex-snapshot
Experimental measurements of partial discharge activity within LDPE/TiO2 nanocomposites
inferredcites →https://doi.org/10.1109/mepcon47431.2019.9008209openalex-snapshot
A Modified Dissolved Gas Analysis Technique as a Diagnostic Tool for Faults in Power Transformers
inferredcites →https://doi.org/10.1109/tdei.2015.004999openalex-snapshot
Development of a new graphical technique for dissolved gas analysis in power transformers based on the five combustible gases
inferredcites →https://doi.org/10.1109/tdei.2017.005959openalex-snapshot
Dissolved gas analysis evaluation in electric power transformers using conventional methods a review
inferredcites →https://doi.org/10.1109/tpwrd.2012.2188143openalex-snapshot
Diagnosing Faults in Power Transformers With Autoassociative Neural Networks and Mean Shift
inferredcites →https://doi.org/10.1155/2019/9674054openalex-snapshot
Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique
inferredcites →https://doi.org/10.13140/rg.2.1.2448.0405openalex-snapshot
Conventional Ratio and Artificial Intelligence (AI) Diagnostic methods for DGA in Electrical Transformers
inferredcites →https://doi.org/10.3311/ppee.13000openalex-snapshot
Evolution and Modern Approaches of the Power Transformer Cost Optimization Methods
inferredcites →https://doi.org/10.3390/app10041329openalex-snapshot
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inferredcites →https://doi.org/10.3390/app11020774openalex-snapshot
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inferredcites →https://doi.org/10.3390/app11031055openalex-snapshot
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inferredcites →https://doi.org/10.3390/en11040913openalex-snapshot
Dissolved Gas Analysis Principle-Based Intelligent Approaches to Fault Diagnosis and Decision Making for Large Oil-Immersed Power Transformers: A Survey
inferredcites →https://doi.org/10.3390/en12040730openalex-snapshot
Improved Consistent Interpretation Approach of Fault Type within Power Transformers Using Dissolved Gas Analysis and Gene Expression Programming
inferredcites →https://doi.org/10.3390/ma14010066openalex-snapshot
Recent Advances in Polymer Nanocomposites Based on Polyethylene and Polyvinylchloride for Power Cables
inferredcites →https://doi.org/10.3390/pr9030471openalex-snapshot
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inferredcites →https://doi.org/10.3390/s19040845openalex-snapshot
Bio-Inspired PHM Model for Diagnostics of Faults in Power Transformers Using Dissolved Gas-in-Oil Data
inferredcites →https://doi.org/10.3390/s19194057openalex-snapshot
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inferredcites →https://doi.org/10.3390/s20092730openalex-snapshot
Wavelet-Like Transform to Optimize the Order of an Autoregressive Neural Network Model to Predict the Dissolved Gas Concentration in Power Transformer Oil from Sensor Data
inferredcites →https://doi.org/10.3390/s21020487openalex-snapshot
Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters
inferredcites →https://doi.org/10.3390/s21041038openalex-snapshot
Deep Learning-Based Industry 4.0 and Internet of Things towards Effective Energy Management for Smart Buildings
inferredcites →https://doi.org/10.3390/s21041244openalex-snapshot
Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic
inferredcites →https://doi.org/10.3923/ijepe.2010.193.197openalex-snapshot
Duval Triangle: A Noble Technique for DGA in Power Transformers

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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