de Souza et al., 2020 - Google Patents
High impedance fault detection in distribution systems: An approach based on fourier transform and artificial neural networksde Souza et al., 2020
- Document ID
- 2469667294717648254
- Author
- de Souza J
- Lopes G
- Vieira J
- Asada E
- Publication year
- Publication venue
- 2020 Workshop on Communication Networks and Power Systems (WCNPS)
External Links
Snippet
Several challenges for generation, transmission, and distribution of electricity arise with the expansion of electrical Distribution Systems (DSs). Continuity and the ability to serve end consumers represent a significant challenge for companies responsible for supplying …
- 238000001514 detection method 0 title abstract description 13
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
- G01R31/02—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
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
- G01R31/3271—Testing of circuit interrupters, switches or circuit-breakers of high voltage or medium voltage devices
- G01R31/3272—Apparatus, systems or circuits therefor
- G01R31/3274—Details related to measuring, e.g. sensing, displaying or computing; Measuring of variables related to the contact pieces, e.g. wear, position or resistance
-
- 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
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Swetapadma et al. | All shunt fault location including cross-country and evolving faults in transmission lines without fault type classification | |
Lima et al. | High impedance fault detection based on Stockwell transform and third harmonic current phase angle | |
Baqui et al. | High impedance fault detection methodology using wavelet transform and artificial neural networks | |
Michalik et al. | High-impedance fault detection in distribution networks with use of wavelet-based algorithm | |
Gu et al. | High impedance fault detection in overhead distribution feeders using a DSP-based feeder terminal unit | |
Silva et al. | Fault detection and classification in transmission lines based on wavelet transform and ANN | |
CN100546140C (en) | High Impedance Fault Detection | |
Cui et al. | Hilbert-transform-based transient/intermittent earth fault detection in noneffectively grounded distribution systems | |
Rahmati et al. | A fault detection and classification technique based on sequential components | |
Tripathy | Power transformer differential protection using neural network principal component analysis and radial basis function neural network | |
Ekici et al. | A transmission line fault locator based on Elman recurrent networks | |
Segatto et al. | A differential relay for power transformers using intelligent tools | |
Samantaray et al. | Adaptive Kalman filter and neural network based high impedance fault detection in power distribution networks | |
Hubana et al. | Approach for identification and classification of HIFs in medium voltage distribution networks | |
Narasimhulu et al. | LWT based ANN with ant lion optimizer for detection and classification of high impedance faults in distribution system | |
de Souza et al. | High impedance fault detection in distribution systems: An approach based on fourier transform and artificial neural networks | |
Grimaldi et al. | High impedance fault detection based on linear prediction | |
Tripathy | Power Transformer Differential Protection Based on Neural Network Principal Component Analysis, Harmonic Restraint and Park′ s Plots | |
Musa et al. | Linear regression index‐based method for fault detection and classification in power transmission line | |
Ghaderi et al. | High impedance fault detection method efficiency: Simulation vs. real-world data acquisition | |
Zahra et al. | High-speed transmission line relaying using artificial neural networks | |
Lala et al. | Fault diagnosis in distribution power systems using stationary wavelet transform and artificial neural network | |
Geethanjali | Combined wavelet transfoms and neural network (WNN) based fault detection and classification in transmission lines | |
Kannan et al. | High impedance fault classification using wavelet transform and artificial neural network | |
Souza et al. | High-impedance fault identification using cyclostationary characteristic analysis |