Condition assessment of substation equipment based on intelligence information fusion

• Published in: IEEE PES Innovative Smart Grid Technologies pp. 1 - 5
• Main Authors: Qingdong Feng, YongLiang Liang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2012
• Subjects: artificial intelligence; artificial neural network; condition assessment; Data mining; expert system; Fault diagnosis; Feature extraction; fuzzy theory; information fusion; Lead; Maintenance engineering; Monitoring; Oil insulation
• ISBN: 1467312215; 9781467312219
• ISSN: 2378-8534
• DOI: 10.1109/ISGT-Asia.2012.6303093

Study on method of condition assessment of substation equipment is the key subject in condition maintenance. This article introduced the application of artificial intelligence methods in the substation equipment condition assessment and different artificial intelligence methods, such as artificial neural network (ANN), fuzzy theory and expert system, are introduced respectively, and their advantages and disadvantages are analysed in detail; in accordance with feature of multi-sensor information in online monitoring, the application of information fusion in condition assessment gained an important introduction; The assessment method based on intelligence information fusion is recommended to solve the deficiency of single assessment method.