Fault Diagnosis Method for Power Transformers Based on Improved Golden Jackal Optimization Algorithm and Random Configuration Network

• Published in: IEEE access Vol. 11; p. 1
• Main Authors: Lu, Wanjie, Shi, Chun, Fu, Hua, Xu, Yaosong
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Configurations; Dissolved gas analysis; Dissolved gases; Fault diagnosis; Feature extraction; Gas analysis; Improved Golden Jackal optimization algorithm; Machine learning; Oil insulation; Optimization; Power transformers; Principal component analysis; Principal components analysis; Transformer; Transformers

The problem of the low accuracy of Dissolved Gas Analysis (DGA) in diagnosing transformer faults is addressed by proposing an Improved Golden Jackal Optimization (IGJO) based Stochastic Configuration Network (SCN) method. The method of transformer fault diagnosis based on IGJO optimized SCN is propo...