[go: up one dir, main page]

Elahi et al., 2022 - Google Patents

A new data mining application in smart monitoring systems using self organizing map neural network to distinguish disk space variations in distribution transformers

Elahi et al., 2022

View PDF
Document ID
9150380869052789503
Author
Elahi O
Behkam R
Gharehpetian G
Heris M
Publication year
Publication venue
2022 IEEE Electrical Power and Energy Conference (EPEC)

External Links

Snippet

Online monitoring of electric power components in smart grids is of great importance to enhance reliability. Fault detection at primary levels in distribution transformers, the chief components to maintaining the integrity of modern power networks, prevents following …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227—Testing dielectric strength or breakdown voltage; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1263—Testing dielectric strength or breakdown voltage; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/28—Testing of electronic circuits, e.g. by signal tracer
    • G01R31/2832—Specific tests of electronic circuits not provided for elsewhere
    • G01R31/2836—Fault-finding or characterising
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/02—Testing of electric apparatus, lines or components, for short-circuits, discontinuities, leakage of current, or incorrect line connection
    • G01R31/024—Arrangements for indicating continuity or short-circuits in electric apparatus or lines, leakage or ground faults
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/02—Testing of electric apparatus, lines or components, for short-circuits, discontinuities, leakage of current, or incorrect line connection
    • G01R31/027—Testing of transformers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/28—Testing of electronic circuits, e.g. by signal tracer
    • G01R31/2851—Testing of integrated circuits [IC]
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/02—Testing of electric apparatus, lines or components, for short-circuits, discontinuities, leakage of current, or incorrect line connection
    • G01R31/021—Testing of cables or conductors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/34—Testing dynamo-electric machines
    • G01R31/343—Testing dynamo-electric machines in operation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/24—Testing of discharge tubes
    • G01R31/245—Testing of gas discharge tubes

Similar Documents

Publication Publication Date Title
Duan et al. Identification of partial discharge defects based on deep learning method
Samimi et al. FRA interpretation using numerical indices: State-of-the-art
Abbasi et al. A novel hyperbolic fuzzy entropy measure for discrimination and taxonomy of transformer winding faults
Tarimoradi et al. Novel calculation method of indices to improve classification of transformer winding fault type, location, and extent
Bigdeli et al. Intelligent classifiers in distinguishing transformer faults using frequency response analysis
CN105891629A (en) Transformer equipment fault identification method
Zhao et al. Diagnosing transformer winding deformation faults based on the analysis of binary image obtained from FRA signature
Behkam et al. Mechanical Fault Types Detection in Transformer Windings Using‎ Interpretation of Frequency Responses via Multilayer Perceptron
Behkam et al. Generalized regression neural network application for fault type detection in distribution transformer windings considering statistical indices
Tarimoradi et al. Sensitivity analysis of different components of transfer function for detection and classification of type, location and extent of transformer faults
Zhao et al. Interpretation of transformer winding deformation fault by the spectral clustering of FRA signature
Moradzadeh et al. Short circuit location in transformer winding using deep learning of its frequency responses
Vatsa et al. Enhancing transformer health monitoring with ai-driven prognostic diagnosis trends: Overcoming traditional methodology’s computational limitations
Moradzadeh et al. Application of support vector machines to locate minor short circuits in transformer windings
CN112149569A (en) Voiceprint fault diagnosis method of transformer based on fuzzy C-means clustering algorithm
Kakolaki et al. Comprehensive study on transformer fault detection via frequency response analysis
Behkam et al. Detection of Transformer Defects in Smart Environment Using Frequency Response Analysis and Artificial Neural Network Based on Data-Driven Systems
Behkam et al. Condition monitoring of distribution transformers using frequency response traces and artificial neural network to detect the extent of windings axial displacements
Moradzadeh et al. Location of disk space variations in transformer winding using convolutional neural networks
Ezziane et al. A novel method to identification type, location, and extent of transformer winding faults based on FRA and SMOTE-SVM
Elahi et al. A new data mining application in smart monitoring systems using self organizing map neural network to distinguish disk space variations in distribution transformers
Behkam et al. Application of Artificial Neural Network on Diagnosing Location and Extent of Disk Space Variations in Transformer Windings Using Frequency Response Analysis
Muhammed et al. An efficient method to localize and quantify axial displacement in transformer winding using support vector machines
Zhao et al. Enhanced detection of power transformer winding faults through 3D FRA signatures and image processing techniques
Carrijo et al. Bushing anomaly detection: an initial assessment