DocumentCode :
648922
Title :
Diagnosis of NPP systems using artificial intelligence - Case study primary heat transport system
Author :
Vlad, Marius ; Popescu, Mihai Octavian ; Popescu, C.L. ; Popovici, Roxana
Author_Institution :
Dept. of Meas., Univ. Politeh. BucharestBucharest, Bucharest, Romania
fYear :
2013
fDate :
11-13 Oct. 2013
Firstpage :
1
Lastpage :
6
Abstract :
At industrial processes management, especially of those of great complexity, the aspects connected to their maintenance into the limits of good running, assuring both quality and continuity, become a priority. In the supervision context, the processes managed must have a safe functioning and a great availability, so as the incident tolerance becomes more and more important. In this article we introduce you a expert system for controlling and monitoring primary heat transportation system from NPP on-line, which is considered of great actuality if we take in consideration that it is a device based on computer and used by keyboarder in order to assist them in controlling complex systems running. The base of the entire scaffolding that competed to surveillance, control and monitoring of the electric devices from NPP is constituted from the acquisition and command devices. On one hand, between the devices enumerated above there is a tight collaboration, information from technological process and on the other hand the possibility of remote control of the technological process.
Keywords :
artificial intelligence; expert systems; nuclear engineering computing; nuclear power stations; power engineering computing; NPP systems; artificial intelligence; command devices; complex systems; electric devices; expert system; industrial processes management; primary heat transport system; primary heat transportation system; technological process; NPP; alarm; diagnosis; expert systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineering (ISEEE), 2013 4th International Symposium on
Conference_Location :
Galati
Type :
conf
DOI :
10.1109/ISEEE.2013.6674373
Filename :
6674373
Link To Document :
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