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Statistical Maintenance Optimization Approach at Bruce Power

[+] Author Affiliations
E. Kevin Doyle, Vesa Tuomi

Bruce Power, Tiverton, ON, Canada

Paper No. ICONE16-48135, pp. 41-48; 8 pages
  • 16th International Conference on Nuclear Engineering
  • Volume 1: Plant Operations, Maintenance, Installations and Life Cycle; Component Reliability and Materials Issues; Advanced Applications of Nuclear Technology; Codes, Standards, Licensing and Regulatory Issues
  • Orlando, Florida, USA, May 11–15, 2008
  • Conference Sponsors: Nuclear Engineering Division
  • ISBN: 0-7918-4814-0 | eISBN: 0-7918-3820-X
  • Copyright © 2008 by ASME


The current reality of global competition and the deregulation of utilities necessitates the pursuit of all financial optimizers. At present, statistical modeling is not used in the conventional maintenance decisions of capital intensive industries such as nuclear, an industry that represents hundreds of billions of dollars of industrial infrastructure. Successful evaluations of Statistical Maintenance Techniques at Bruce Power have resulted in the decision to implement a plant wide program to help optimize the maintenance function. This paper contains a brief summary of some of these evaluations.

Copyright © 2008 by ASME



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