A new cognitive-based massive alarm management system in electrical power administration

Proceedings of the 7th International Caribbean Conference on Devices, Circuits and Systems, ICCDCS

Volumn , Issue , 2008, Pages

  Aizpurua O ^a   Galan R ^b   Jimenez A ^b  

^a UNIVERSIDAD TECNOLÓGICA DE PANAMÁ   (Panama)

^b UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Alarm management systems; Artificial intelligence; Cognitive systems; Electrical power

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ARTIFICIAL INTELLIGENCE; AVALANCHES (SNOWSLIDES); COMPUTER NETWORKS; DECISION SUPPORT SYSTEMS; ELECTRIC POWER SUPPLIES TO APPARATUS; EXPERT SYSTEMS; KNOWLEDGE BASED SYSTEMS; MANAGEMENT INFORMATION SYSTEMS; SNOW;

ALARM MANAGEMENT; ALARM MANAGEMENT SYSTEMS; COGNITIVE SYSTEMS; ELECTRICAL POWER;

ALARM SYSTEMS;

EID: 51049091220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCDCS.2008.4542607     Document Type: Conference Paper

References (15)

1. ANDOW , P., (2005). Alarms and Abnormal Situation Management: Experience from the Process Industries.
2. BERNARAS, A., LARESGOITI, I., CORERA, J., BARTOLOMÉ, N., (1996). IEEE. An Ontology for Fault Diagnosis in Electrical Networks.
3. BRANSBY, M.L., JENKINSON, J., (1998) IEE. Alarm Management in the Chemical and Power Industries: Results of a Survey for the HSE (Health and Safety Executive).
4. BROWN, C. (2003). Alarm System Performance- One Size Fits All?. Upstream Technology, Sunbury Vol. 36, p. 120-123
5. EEMUA 191 Alarm Systems - A Guide to Design, Management and Procurement (1999) ISBN 0-85931-076-0.
6. HUANG, Q., QIN, K., WANG, W., (2006). IEEE Proceedings of the International Symposium on Parallel Computing in Electrical Engineering (PARELEC'06). A Software Architecture based on Multi Agent and Grid Computing for Electric Power Systems Applications.
7. HUEBNER, F., (2001). Performance and Capacity Evaluations of IP Networks and Systems.
8. JULISCH, K. IBM Research, Zurich Research Laboratory. Clustering Intrusion Detection Alarms to Support Root Cause Analysis. Vol. 6, no 4, p. 444-471.
9. KOSKO, B., Fuzzy Engineering., Prentice Hall, New Jersey
10. LEE, CH., ALENA, R., ROBINSON, P., (2004). IEEEAC. Migrating Fault Trees to Decision Trees for Real Time Fault Time Detection on International Space Station. Version 6, no 1203, p. 1-6.
11. Th. Edition., p. 484-494.
12. MANZONI, A., SILVA, A.S., DECKER, I.C., (1999). IEEE Transactions in Power Systems .Dynamics Simulations Using Object-Oriented Programming. Vol. 14, no .1, p. 249-255.
13. MONTES, J., (2004). Sistemas Expertos.
14. PAPAGEORGIU, E., STYLIOS, CH., GROUMPOS, P., (2003). Fuzzy Cognitive Map Learning Based on Nonlinear Hebbian Rule. Springer-Verlag, Berlin, p. 256-268.
15. PEDRICZ, W., SOSNOWSKI, Z., (2005). IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews. C-Fuzzy Decision Trees. Vol. 35, no 4, p. 498-511.