Signal grouping algorithm for an improved on-line calibration monitoring system

Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006

Volumn , Issue , 2006, Pages 970-976

  Hoffmann, Mario ^a  

^a OECD HALDEN REACTOR PROJECT   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CALIBRATION; COMPENSATION (PERSONNEL); FUZZY LOGIC; FUZZY NEURAL NETWORKS; NUCLEAR FUELS; NUCLEAR POWER PLANTS; SCALABILITY; WAGES;

FIELD CALIBRATION; GROUPING ALGORITHM; INSTRUMENT CHANNELS; MONITORING SYSTEM; ON-LINE CALIBRATION; ONLINE MONITORING; RADIATION EXPOSURE; SIGNAL VALIDATION;

MONITORING;

EID: 84873601419     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1142/9789812774118_0135     Document Type: Conference Paper

References (4)

1. P. Fantoni, M. Hoffmann, R. Shankar and E. Davis, On-Line Monitoring of Instrument Channel Performance in Nuclear Power Plant Using PEANO, ICONE-10 (2002).
2. J.H. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, MI (1975).
3. J.W. Hines, A. Usynin, Autoassociative Model Input Variable Selection for Process Monitoring, International Symposium on the Future I&C for Nuclear Power Plant, November 1-4, 2005, Tongyeong, Gyungnam, Korea.
4. E. Cuthill and J. McKee, Reducing the bandwidth of sparse symmetric matrices, In Proc. 24th Nat. Coru. ACM, pages 157-172 (1969).