PL3699614T3 - Sposób i system rozpoznawania wyładowania niezupełnego do diagnozowania sieci elektrycznych - Google Patents
Sposób i system rozpoznawania wyładowania niezupełnego do diagnozowania sieci elektrycznychInfo
- Publication number
- PL3699614T3 PL3699614T3 PL20382124.4T PL20382124T PL3699614T3 PL 3699614 T3 PL3699614 T3 PL 3699614T3 PL 20382124 T PL20382124 T PL 20382124T PL 3699614 T3 PL3699614 T3 PL 3699614T3
- Authority
- PL
- Poland
- Prior art keywords
- partial discharge
- electrical networks
- discharge recognition
- diagnosing electrical
- diagnosing
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
-
- 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
- G01R31/14—Circuits therefor, e.g. for generating test voltages, sensing circuits
-
- 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
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
- G06F17/148—Wavelet transforms
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- 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
- G01R31/1272—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 of cable, line or wire insulation, e.g. using partial discharge measurements
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Testing Relating To Insulation (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| ES201930149A ES2780448A1 (es) | 2019-02-22 | 2019-02-22 | Método y sistema de reconocimiento de descargas parciales para diagnóstico de redes eléctricas |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| PL3699614T3 true PL3699614T3 (pl) | 2025-01-07 |
Family
ID=69770827
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PL20382124.4T PL3699614T3 (pl) | 2019-02-22 | 2020-02-21 | Sposób i system rozpoznawania wyładowania niezupełnego do diagnozowania sieci elektrycznych |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20200271714A1 (pl) |
| EP (1) | EP3699614B1 (pl) |
| AR (1) | AR118148A1 (pl) |
| ES (2) | ES2780448A1 (pl) |
| PL (1) | PL3699614T3 (pl) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112098760A (zh) * | 2020-09-21 | 2020-12-18 | 广东电网有限责任公司佛山供电局 | 基于卷积神经网络的电力故障信号检测方法 |
| CN112557833B (zh) * | 2020-10-10 | 2022-04-12 | 国网河南省电力公司焦作供电公司 | 一种基于深度样本增强的电缆局部放电模式识别方法 |
| CN112686093A (zh) * | 2020-12-02 | 2021-04-20 | 重庆邮电大学 | 一种基于ds证据理论的融合局部放电类型识别方法 |
| EP4175090A1 (de) * | 2021-10-29 | 2023-05-03 | Siemens Aktiengesellschaft | Schutzeinrichtung und verfahren zum überwachen eines elektrischen energieversorgungsnetzes sowie computerprogrammprodukt |
| CN114254668A (zh) * | 2021-11-26 | 2022-03-29 | 南方电网数字电网研究院有限公司 | 基于绝缘开关设备放电信号的故障检测方法和装置 |
| CN114280433B (zh) * | 2021-12-02 | 2023-04-07 | 西南交通大学 | 一种基于放大电路的变压器套管局部放电风险评估方法 |
| CN115187527B (zh) * | 2022-06-27 | 2023-04-07 | 上海格鲁布科技有限公司 | 一种多源混合型特高频局部放电图谱的分离识别方法 |
| CN115453286B (zh) * | 2022-09-01 | 2023-05-05 | 珠海市伊特高科技有限公司 | Gis局部放电诊断方法、模型训练方法、装置及系统 |
| CN115510922A (zh) * | 2022-10-31 | 2022-12-23 | 国网江苏省电力有限公司徐州供电分公司 | 一种电气一次设备局部放电信号的模式识别方法 |
| CN115526217A (zh) * | 2022-11-28 | 2022-12-27 | 陕西公众电气股份有限公司 | 一种基于嵌入式平台的局部放电模式识别方法及系统 |
| CN116502051B (zh) * | 2023-06-26 | 2023-09-26 | 广东电网有限责任公司珠海供电局 | 一种海底电缆局部缺陷识别方法及装置 |
| CN117783793B (zh) * | 2024-02-23 | 2024-05-07 | 泸州老窖股份有限公司 | 一种开关柜的故障监测方法及系统 |
| CN118759322A (zh) * | 2024-07-12 | 2024-10-11 | 广东电网有限责任公司江门供电局 | Gis设备局部放电定位方法、装置、存储介质及系统 |
| CN121030493A (zh) * | 2025-08-18 | 2025-11-28 | 江苏国电南自海吉科技有限公司 | 基于特征参量与矩特征多尺度卷积自适应局部放电故障类型识别方法 |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110077484A1 (en) * | 2009-09-30 | 2011-03-31 | Nellcor Puritan Bennett Ireland | Systems And Methods For Identifying Non-Corrupted Signal Segments For Use In Determining Physiological Parameters |
| ES2379831A1 (es) * | 2010-05-26 | 2012-05-04 | Universidad Politécnica de Madrid | PROCEDIMIENTO DE MONITORIZACIÓN CONTINUA Y DIAGNÓSTICO DE FUENTES DE DESCARGAS PARCIALES (DPs) EN CABLES DE ALTA TENSIÓN DURANTE SU CONEXIÓN Y FUNCIONAMIENTO EN LA RED, Y SISTEMA FÍSICO PARA LA PUESTA EN PRÁCTICA DEL PROCEDIMIENTO. |
| ES2400139B1 (es) * | 2011-06-21 | 2013-11-26 | Ormazabal Corporate Technology, A.I.E. | Procedimiento y dispositivo de monitorización de descargas parciales |
| FR2987900B1 (fr) | 2012-03-09 | 2015-07-31 | Alstom Technology Ltd | Procede de reconnaissance de decharges partielles emises a l'interieur et a l'exterieur d'un appareil electrique |
| CN103323749B (zh) * | 2013-05-16 | 2016-08-03 | 上海交通大学 | 多分类器信息融合的局部放电诊断方法 |
| CN103558529B (zh) * | 2013-11-14 | 2016-11-23 | 国家电网公司 | 一种三相共筒式超高压gis局部放电的模式识别方法 |
| CN105137310A (zh) * | 2015-10-10 | 2015-12-09 | 沈阳工业大学 | Gis局部放电在线检测系统及方法 |
| CN107238507B (zh) | 2017-06-20 | 2019-12-31 | 佛山市南海区广工大数控装备协同创新研究院 | 一种基于深度学习的工业设备故障预测方法 |
| CN107449994A (zh) * | 2017-07-04 | 2017-12-08 | 国网江苏省电力公司电力科学研究院 | 基于cnn‑dbn网络的局放故障诊断方法 |
| KR101822829B1 (ko) * | 2017-08-11 | 2018-01-29 | 문경훈 | 머신러닝을 이용한 차단기 부분방전 유형진단 및 노이즈 판별 방법 |
| CN107907799B (zh) | 2017-11-10 | 2020-10-09 | 国网浙江省电力公司电力科学研究院 | 基于卷积神经网络的局部放电缺陷类型的识别方法及系统 |
| CN108983051B (zh) * | 2018-07-25 | 2021-02-09 | 武汉科技大学 | 基于同步挤压小波变换的局部放电类型识别方法 |
| CN109116203A (zh) * | 2018-10-31 | 2019-01-01 | 红相股份有限公司 | 基于卷积神经网络的电力设备局部放电故障诊断方法 |
| CN109061426B (zh) * | 2018-11-02 | 2021-10-22 | 国网河北省电力有限公司电力科学研究院 | 变压器局部放电故障诊断方法及在线监测装置 |
-
2019
- 2019-02-22 ES ES201930149A patent/ES2780448A1/es active Pending
-
2020
- 2020-02-20 AR ARP200100465A patent/AR118148A1/es unknown
- 2020-02-21 ES ES20382124T patent/ES2994135T3/es active Active
- 2020-02-21 US US16/797,853 patent/US20200271714A1/en not_active Abandoned
- 2020-02-21 EP EP20382124.4A patent/EP3699614B1/en active Active
- 2020-02-21 PL PL20382124.4T patent/PL3699614T3/pl unknown
Also Published As
| Publication number | Publication date |
|---|---|
| EP3699614A1 (en) | 2020-08-26 |
| EP3699614C0 (en) | 2024-08-28 |
| ES2994135T3 (en) | 2025-01-17 |
| US20200271714A1 (en) | 2020-08-27 |
| EP3699614B1 (en) | 2024-08-28 |
| ES2780448A1 (es) | 2020-08-25 |
| BR102020003963A2 (pt) | 2020-09-29 |
| AR118148A1 (es) | 2021-09-22 |
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