Classification and detection of electrical control system faults through SCADA data analysis

Chemical Engineering Transactions

Volumn 33, Issue , 2013, Pages 985-990

  Godwin, Jamie L ^a   Matthews, Peter ^a   Watson, Christopher ^a  

^a DURHAM UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; CONTROL SYSTEMS; COST REDUCTION; DIAGNOSIS; EXPERT SYSTEMS; MAINTENANCE; WIND TURBINES;

CAPITAL EXPENDITURES; CLASSIFICATION ACCURACY; CLASSIFICATION SYSTEM; COMPUTATIONAL OVERHEADS; ELECTRICAL CONTROL SYSTEM; MECHANICAL COMPONENTS; PREDICTIVE MAINTENANCE; TIME BASED MAINTENANCE;

FAULT DETECTION;

EID: 84883800552     PISSN: 22839216     EISSN: 22839216     Source Type: Journal    
DOI: 10.3303/CET1333165     Document Type: Conference Paper

References (11)

1. Chen B., Qiu Y. N., Feng Y, Tavner P.J., Song W.W, 2011, Wind turbine SCADA alarm pattern recognition, Renewable Power Generation, 6-8 September, Edinburgh, UK, 1-6.
2. Cohen W. W., 1995. Fast effective rule induction, in Proceedings of Machine Learning, 9-12 July, California, USA. 115-123.
3. Djurdjanovic D., Lee J., Ni J., 2003, Watchdog agent-an infotronics based prognostic approach for performance degradation assessment and prediction. Adv. Eng. Informatics, 17(3), 109-125.
4. García V., Sánchez J. S., Martín-Félez R., Mollineda R. A., 2012, Surrounding neighborhood-based SMOTE for learning from imbalanced data sets. Progress in Artificial Intelligence 1(4), 1-16.
5. Hatch, C., 2004, Improved wind turbine condition monitoring using acceleration enveloping, GE Energy Journal of Electrical Systems, 3(1), 26-38.
6. Kusiak, A., Verma, A., 2011, A Data-Driven Approach for Monitoring Blade Pitch Faults in Wind Turbines, Sustainable Energy, IEEE Transactions on, 2(1), 87-96.
7. Levrat E., Iung B., Marquez C., 2008, E-maintenance: review and conceptual framework, Production, Planning & Control, 19(4), 408-429.
8. Matthews B. W., 1975, Comparison of the predicted and observed secondary structure of T4 phage lysozyme, Biochimica et Biophysica Acta (BBA)-Protein Structure, Volume 405 (2), pp. 442-451.
9. Moore W., Starr A., 2006, An intelligent maintenance system for continuous cost-based prioritisation of maintenance activities, Computers in Industry, 57(6), 595-606.
10. Sainz E., Llombart A., Guerrero J., 2009, Robust filtering for the characterization of wind turbines: Improving its operation and maintenance. Energy conversion & management, 50(9), 2136-2147.
11. WWEA (World Wind Energy Association), 2012, 2012 quarterly Bulletin, Issue 3 < www.wwindea.org/webimages/WWEA-Bulletin-ISSUE-3.pdf>, accessed 20.11.2012