Nothing Special   »   [go: up one dir, main page]

Annapoorani et al., 2012 - Google Patents

Fault prediction based on dissolved gas concentration from insulating oil in power transformer using Neural Network

Annapoorani et al., 2012

Document ID
6865212450071714531
Author
Annapoorani K
Umamaheswari D
Publication year
Publication venue
2012 IEEE 10th International Conference on the Properties and Applications of Dielectric Materials

External Links

Snippet

Reliable and continued performance of power Transformer is the key to profitable generation and transmission of electric power. Failure of a large power transformer not only results in the loss of very expensive equipment, but it can cause significant guarantied …
Continue reading at ieeexplore.ieee.org (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
    • G01R31/02—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
    • G01R31/12—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
    • G01R31/327—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
    • 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

Similar Documents

Publication Publication Date Title
Singh et al. Dissolved gas analysis technique for incipient fault diagnosis in power transformers: A bibliographic survey
Duval A review of faults detectable by gas-in-oil analysis in transformers
Gouda et al. Proposed heptagon graph for DGA interpretation of oil transformers
Kim et al. New methods of DGA diagnosis using IEC TC 10 and related databases Part 1: application of gas-ratio combinations
Gouda et al. Proposed three ratios technique for the interpretation of mineral oil transformers based dissolved gas analysis
Wang et al. Review of condition assessment of power transformers in service
Lee et al. New methods of DGA diagnosis using IEC TC 10 and related databases Part 2: application of relative content of fault gases
Muhamad et al. Comparative study and analysis of DGA methods for transformer mineral oil
Annapoorani et al. Fault prediction based on dissolved gas concentration from insulating oil in power transformer using Neural Network
Gouda et al. Power transformer incipient faults diagnosis based on dissolved gas analysis
Soni et al. An approach to diagnose incipient faults of power transformer using dissolved gas analysis of mineral oil by ratio methods using fuzzy logic
Wattakapaiboon et al. The state of the art for dissolved gas analysis based on interpretation techniques
Arora Different DGA techniques for monitoring of transformers
Mehta et al. DGA diagnostics save transformers-case studies
Shanker et al. Case studies on transformer fault diagnosis using dissolved gas analysis
Samy et al. Conventional ratio and artificial intelligence (AI) diagnostic methods for DGA in electrical transformers
Patel et al. An evaluation of different health assessment methods on 50 MVA power transformer: A case study
Gumilang et al. Condition assessment method for power transformer as a part of condition based maintenance program in PLN P3B Jawa Bali
Chitnavis et al. Review of critical analysis for life estimation of power transformer
Hossam-Eldin et al. New approach to power transformer asset management and life assessment using fuzzy logic techniques
Wanjare et al. DGA interpretation for increasing the percent of accuracy by different methods: a review
Londo et al. Hybrid dissolved gas-in-oil analysis methods
Mehta et al. Partial discharge study by monitoring key gases of power transformers
Gouda et al. Power transformer incipient faults diagnosis based on dissolved gas analysis
Jahromi et al. Under load tap changer diagnostics based on transformer DGA and DC resistance tests