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Probabilistic analysis of a 3-unit induced draft fan system with one warm standby with priority to repair of the unit in working state

Author

Listed:
  • Anjali Naithani

    (Amity Institute of Applied Sciences)

  • Bhupender Parashar

    (JSS Academy of Technical Education)

  • P. K. Bhatia

    (Deenbandhu Chhotu Ram University of Science and Technology)

  • Gulshan Taneja

    (M.D. University)

Abstract

This paper deals with the probabilistic analysis of a three unit induced draft fan system fitted in boilers used in thermal power plants. For this analysis, a transition diagram for the system is developed and cost-benefit analysis is carried out using semi-Markov and regenerative processes. Boiler under consideration is fitted with three ID fans: Two operative and one as a warm standby to provide redundancy. If an ID fan fails, then the one acting as a warm standby starts working instantaneously. The unit can also work at reduced capacity with one ID fan when parameters are controlled but this leads to low power production. If parameters cannot be controlled in a stipulated time period then the system goes into down state. Failed state is considered only if all the ID fans fail. Priority is given to repair of the unit over controlling the parameters when in working state. The expression for various measure of system effectiveness such as mean time to system failure, availability analysis and busy period analysis of repairman are estimated numerically. Numerical results and some graphs to a particular case are also included.

Suggested Citation

  • Anjali Naithani & Bhupender Parashar & P. K. Bhatia & Gulshan Taneja, 2017. "Probabilistic analysis of a 3-unit induced draft fan system with one warm standby with priority to repair of the unit in working state," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1383-1391, November.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-017-0608-6
    DOI: 10.1007/s13198-017-0608-6
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    Cited by:

    1. Monika & Garima Chopra, 2024. "Reliability assessment of an industrial system considering failures in its raw material inventory," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2704-2714, June.
    2. S. Z. Taj & S. M. Rizwan & B. M. Alkali & D. K. Harrison & G. Taneja, 2020. "Three reliability models of a building cable manufacturing plant: a comparative analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(2), pages 239-246, July.
    3. S. Z. Taj & S. M. Rizwan & B. M. Alkali & D. K. Harrison & G. Taneja, 0. "Three reliability models of a building cable manufacturing plant: a comparative analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-8.

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