A tool for gas turbine maintenance scheduling

Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09

Volumn , Issue , 2009, Pages 9-16

  Bohlin, Markus ^a   Doganay, Kivanc ^a   Kreuger, Per ^a   Steinert, Rebecca ^a   Wärja, Mathias ^b  

^a SWEDISH INSTITUTE OF COMPUTER SCIENCE   (Sweden)

^b Siemens Industrial Turbomachinery AB ^*  (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION SUPPORT TOOLS; DOWNTIME REDUCTION; MAINTENANCE COST; MAINTENANCE DOWNTIME; MAINTENANCE PLANNING; MAINTENANCE PLANS; MIXED INTEGER LINEAR PROGRAMMING; MIXED INTEGER PROGRAMMING; NP COMPLETE; OIL PRODUCTION; OPERATIONAL USE; OPTIMIZATION PROBLEMS; ORDERS OF MAGNITUDE; PLANNED MAINTENANCE; PRODUCTION LOSS; REAL-WORLD SCENARIO; SIEMENS; SOFTWARE TOOL; TEST RESULTS;

ARTIFICIAL INTELLIGENCE; COMPUTER SOFTWARE; COMPUTER SOFTWARE MAINTENANCE; COST REDUCTION; DECISION SUPPORT SYSTEMS; DYNAMIC PROGRAMMING; GAS TURBINES; HEURISTIC ALGORITHMS; INTEGER PROGRAMMING; LINEARIZATION; MAINTAINABILITY; OPTIMIZATION; TURBOMACHINERY;

PREVENTIVE MAINTENANCE;

EID: 74949095837     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Bohlin, M.; Wärja, M.; Holst, A.; Slottner, P.; and Doganay, K. 2009. Optimization of Condition-Based Maintenance for Industrial Gas Turbines: Requirements and Results. In Proc. ASME Turbo Expo 2009. To Appear.
2. Cormen, T. H.; Leiserson, C. E.; Rivest, R. L.; and Stein, C. 2001. Introduction to Algorithms. Cambridge, MA, USA: MIT Press, second edition.
3. Dekker, R. 1996. Applications of Maintenance Optimization Models: A Review and Analysis. Reliability Engineering and System Safety 51:229-240.
4. E. G. Coffman, J.; Garey, M. R.; and Johnson, D. S. 1997. Approximation Algorithms for Bin Packing: A Survey. Boston, USA: PWS Publishing Co. chapter 2, 46-93.
5. Garey, M. R., and Johnson, D. S. 1979. Computers and Intractability: A Guide to the Theory of NP-Completeness. W. H. Freeman.
6. Lhomme, O. 1993. Consistency Techniques for Numeric CSPs. In Proc. IJCAI-93, 232-238.
7. Marseguerra, M.; Zio, E.; and Podofillini, L. 2002. Condition-Based Maintenance Optimization by Means of Genetic Algorithms and Monte Carlo Simulation. Reliability Engineering & System Safety 77(2): 151-165.
8. Russell, S., and Norvig, P. 2003. Artificial Intelligence: A Modern Approach. Prentice Hall, second edition.
9. Tan, J. S., and Kramer, M. A. 1997. A General Framework for Preventive Maintenance Optimization in Chemical Process Operations. Computers & Chemical Engineering 21(12):1451-1469.
10. Wildeman, R. E.; Dekker, R.; and Smit, A. C. J. M. 1997. A Dynamic Policy for Grouping Maintenance Activities. European Journal of Operational Research 99(3):530-551.
11. William D. Harvey, M. L. G. 1995. Limited Discrepancy Search. In Proc. IJCAI-95, volume 1, 607-615. Montréal, Québec, Canada: Morgan Kaufmann, 1995.
12. Yamayee, Z.; Sidenblad, K.; and Yoshimura, M. 1983. A Computationally Efficient Optimal Maintenance Scheduling Method. IEEE Transactions on Power Apparatus and Systems PAS-102(2):330-338.
13. Zienkiewicz, O. C.; Taylor, R.; and Zhu, J. Z. 2005. The Finite Element Method. Butterworth-Heinemann, sixth edition.