Title :
Monitoring and diagnosis for Automatic Activation of Reserve using artificial intelligence techniques
Author :
Vlad, Marius ; Cucu, M. ; Frumuselu, Sorin ; Popovici, Roxana ; Popescu, Mihai Octavian ; Popescu, C.L.
Author_Institution :
Fac. of Electr. Eng., Univ. Politeh. Bucharest, Bucharest, Romania
Abstract :
Monitoring, diagnosis and control systems represent a variant of modern informational technologies used for broadcasting, data acquisition and visualization of primary technical data as well as automated long distance control of dynamic processes from amongst very diverse fields, ranging from metallurgical engineering, chemistry and energy engineering to nuclear engineering. This paper deals with an expert system whose primary purpose is monitoring, diagnosing and operating an AAR (Automatic Activation of Reserve) process. The presented system uses online acquired data and integrates the entire range of needed functions for the monitoring, diagnosis and operation of an AAR system at a software level. This system provides operators with global information, operative suggestions and detailed interpretation of real time operational status of monitored stations.
Keywords :
artificial intelligence; data acquisition; power engineering computing; AAR process; artificial intelligence; automated long distance control; automatic activation of reserve; broadcasting; chemistry; control systems; data acquisition; diagnosis systems; energy engineering; global information; informational technology; metallurgical engineering; monitoring systems; nuclear engineering; Analytical models; Expert systems; Maintenance engineering; Monitoring; Software; Switches; AAR; expert system; monitoring; on-line diagnosis;
Conference_Titel :
Advanced Topics in Electrical Engineering (ATEE), 2013 8th International Symposium on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-5979-5
DOI :
10.1109/ATEE.2013.6563372