DocumentCode
2195336
Title
Intelligent correlation and analysis of substation nonoperational data
Author
Kreiss, D.G.
Author_Institution
Kreiss Johnson Technol., San Diego, CA, USA
fYear
2004
fDate
6-10 June 2004
Firstpage
724
Abstract
The analysis of non-operational data can result in significant financial benefits to utilities, including shortened system restoration times, reduced maintenance costs, and increased operating capacities. The application of intelligent methods can overcome the barriers associated with the correlation and analysis of substation non-operational data. This paper presents an analysis engine that encourages the rapid development of analysis modules using intelligent objects to store expert reasoning.
Keywords
expert systems; maintenance engineering; power supply quality; substation automation; expert reasoning storage; intelligent correlation; maintenance costs; shortened system restoration times; substation nonoperational data; Costs; Data analysis; Engines; Lightning; Personnel; Power quality; Retirement; SCADA systems; Substation automation; Transformers;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society General Meeting, 2004. IEEE
Print_ISBN
0-7803-8465-2
Type
conf
DOI
10.1109/PES.2004.1372911
Filename
1372911
Link To Document