Chen et al., 2024 - Google Patents
Transformer winding state diagnosis method based on short-circuit impulse response and multi-feature jointChen et al., 2024
View PDF- Document ID
- 17817691853589248642
- Author
- Chen Y
- Sun Q
- Huang Y
- Zhang F
- Qian X
- Publication year
- Publication venue
- Journal of Physics: Conference Series
External Links
Snippet
To investigate the relationship between the physical characteristics of transformer short- circuit impulse signals and winding deformation, this paper proposes a transformer winding state diagnosis method based on the combination of short-circuit impulse response and …
- 238000004804 winding 0 title abstract description 61
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
- G01R31/34—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
- G01R31/12—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
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Hong et al. | Transformer winding fault diagnosis using vibration image and deep learning | |
US9404957B2 (en) | Fault diagnosis and preliminary location system and method for transformer core looseness | |
Nurmanova et al. | A new transformer FRA measurement technique to reach smart interpretation for inter-disk faults | |
CN102279341B (en) | Cage asynchronous motor rotor broken-bar fault detection method based on electronic stability program rotation invariant technology (ESPRIT) and pattern search algorithm (PSA) | |
Hong et al. | A method of real-time fault diagnosis for power transformers based on vibration analysis | |
CN106338336A (en) | Transformer vibration on-line monitoring system | |
CN102279364A (en) | Method for detecting broken bar fault of cage type asynchronous motor rotor based on multiple signal classification (MUSIC) and pattern search algorithm (PSA) | |
CN109991508B (en) | Transformer winding state diagnosis method based on dynamic nonlinear characteristic sequence | |
CN108535638A (en) | Load ratio bridging switch machine performance monitoring method based on Multilayer filter and system | |
CN102279343A (en) | Online detection method of broken rotor bar fault of cage-type asynchronous motor based on ESPRIT-SAA | |
CN107677904A (en) | A kind of voltage dip origin cause of formation discrimination method and system | |
Hong et al. | Transformer condition monitoring based on load-varied vibration response and GRU neural networks | |
CN111474496A (en) | Transformer turn-to-turn short circuit rapid diagnosis method based on vibration signal identification | |
Hong et al. | State classification of transformers using nonlinear dynamic analysis and Hidden Markov models | |
Hou et al. | A new vibration analysis approach for monitoring the working condition of a high-voltage shunt reactor | |
Günal et al. | Induction machine condition monitoring using notch-filtered motor current | |
CN116520101A (en) | Multi-source fusion-based sleeve defect identification and insulation state evaluation method | |
CN108593099A (en) | A kind of on-load regulator transformer tap switch vibration signal extracting method | |
Ni et al. | Improved empirical wavelet transform (EWT) and its application in non-stationary vibration signal of transformer | |
Chen et al. | Transformer winding state diagnosis method based on short-circuit impulse response and multi-feature joint | |
CN117607752B (en) | Converter transformer life assessment method, medium and system based on iron core and clamp current | |
CN105182116B (en) | A kind of transformer winding working state detecting method based on weighted gradient structural similarity | |
Gao et al. | Quantitative research on accumulative effect of transformer winding deformation and its influence degree based on time-frequency analysis of vibration signal | |
Huo et al. | A comparative study of WPD and EMD for shaft fault diagnosis | |
CN103678922B (en) | Field trash based on principle component regression affects the analysis method of non-orientation silicon steel magnetic property |