Title:
ARTIFICIAL INTELLIGENCE FAULT IDENTIFICATION SYSTEM AND METHOD BASED ON POWER TRANSMISSION LINE TRANSIENT WAVEFORM
Document Type and Number:
WIPO Patent Application WO/2022/183698
Kind Code:
A1
Abstract:
An artificial intelligence fault identification method for a power transmission line transient waveform, mainly comprising the following steps: performing manual annotation of a fault type on an original waveform signal to generate a data tag, and establishing a power transmission line transient waveform fault sample library; completing preprocessing a power transmission line transient waveform signal on the basis of a sliding window method to obtain corresponding sequence image data; constructing a deep learning model to realize the power transmission line transient waveform identification; performing parameter training and tuning on the deep learning model; and performing performance testing on the deep learning model, and completing targeted optimization to improve the performance. In this way, rapid, accurate, and reliable power transmission line transient waveform identification is realized. In addition, also disclosed is an artificial intelligence fault identification system for a power transmission line transient waveform for realizing the method. The system comprises a signal preprocessing module, a manual annotation module, a waveform identification module, a training and tuning module, and a performance testing and optimization module.
Inventors:
WANG YU (CN)
LI JIAN (CN)
LI ZHE (CN)
LIU YUSHUN (CN)
BAI BINGJIE (CN)
ZHOU ZANDONG (CN)
FENG ZHIHUI (CN)
XIE YINGPU (CN)
LEI MENGFEI (CN)
LI YAN (CN)
HAN DONG (CN)
LI JIAN (CN)
LI ZHE (CN)
LIU YUSHUN (CN)
BAI BINGJIE (CN)
ZHOU ZANDONG (CN)
FENG ZHIHUI (CN)
XIE YINGPU (CN)
LEI MENGFEI (CN)
LI YAN (CN)
HAN DONG (CN)
Application Number:
PCT/CN2021/115644
Publication Date:
September 09, 2022
Filing Date:
August 31, 2021
Export Citation:
Assignee:
WUHAN NARI LIMITED LIABILITY COMPANY OF STATE GRID ELECTRIC POWER RES INSITITUTE (CN)
NARI GROUP CORP (CN)
STATE GRID ANHUI ELECTRIC POWER CORP (CN)
ELECTRIC POWER RES INSITITUTE OF STATE GRID ANHUI ELECTRIC POWER CORPORATION (CN)
STATE GRID CORP CHINA (CN)
NARI GROUP CORP (CN)
STATE GRID ANHUI ELECTRIC POWER CORP (CN)
ELECTRIC POWER RES INSITITUTE OF STATE GRID ANHUI ELECTRIC POWER CORPORATION (CN)
STATE GRID CORP CHINA (CN)
International Classes:
G01R31/08; G06N3/08
Foreign References:
| CN113033837A | 2021-06-25 | |||
| EP3460494A1 | 2019-03-27 | |||
| CN111611924A | 2020-09-01 | |||
| CN111553112A | 2020-08-18 | |||
| CN109784276A | 2019-05-21 | |||
| CN111898729A | 2020-11-06 |
Other References:
MATINDIFE LISTON, SUN YANXIA, WANG ZENGHUI: "Image-based mains signal disaggregation and load recognition", COMPLEX & INTELLIGENT SYSTEMS, vol. 7, no. 2, 1 April 2021 (2021-04-01), pages 901 - 927, XP055963553, ISSN: 2199-4536, DOI: 10.1007/s40747-020-00254-0
Attorney, Agent or Firm:
WUHAN KAIYUAN INTELLECTUAL PROPERTY AGENT LTD. (CN)
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