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FMECA analysis and condition monitoring of critical equipments in super thermal power plant

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Listed:
  • J K. Mohanty

    (VSSUT)

  • P. R. Dash

    (VSSUT)

  • P. K. Pradhan

    (VSSUT)

Abstract

In the recent years, there is a trend to build super thermal power plants in order to have better economic viability. With the growth of the capacity and size, the complexities of these plants have also grown multifold. There is more chance of fault in the system, when it is more complex. An early detection of these faults can allow time for preventive maintenance before a severe failure occurs. Condition monitoring is implementation of the advanced diagnostic techniques to reduce downtime and to increase the efficiency and reliability. The research is for determining the usage of advanced techniques like Vibration analysis and Oil analysis and to diagnose ensuing problems of the plant and machinery at an early stage and plan to take corrective and preventive actions to eliminate the issue and enhancing the reliability of the system. Now days, most of the industries have adopted the condition monitoring techniques as a part of support system to the basic maintenance strategies. Failure Mode, Effect and Criticality Analysis (FMECA) is associated with condition monitoring to determine the criticality of such unit or machines. It is a design method used to systematically analyze probable component failure modes of product or process, assess the risk associated with these failure modes and find out the resultant effects on system operations. In this study, practical approach have been applied for the FMECA to determine the critical equipments in a super thermal power plant and condition monitoring of such equipments have been done.

Suggested Citation

  • J K. Mohanty & P. R. Dash & P. K. Pradhan, 2020. "FMECA analysis and condition monitoring of critical equipments in super thermal power plant," 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(3), pages 583-599, June.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:3:d:10.1007_s13198-020-00945-4
    DOI: 10.1007/s13198-020-00945-4
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    References listed on IDEAS

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    1. Nishit Kumar Srivastava & Sandeep Mondal, 2015. "Predictive maintenance using modified FMECA method," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 16(3), pages 267-280.
    2. Catelani, M. & Ciani, L. & Venzi, M., 2018. "Failure modes, mechanisms and effect analysis on temperature redundant sensor stage," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 425-433.
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    Cited by:

    1. Cattareeya Suwanasri & Surapol Saribut & Thanapong Suwanasri & Rattanakorn Phadungthin, 2021. "Risk Analysis Using Failure Modes, Effects, and Criticality Analysis for Transmission Network Assets," Energies, MDPI, vol. 14(4), pages 1-16, February.
    2. Rasool Motahari & Yasser Saeidi Sough & Hamed Aboutorab & Morteza Saberi, 2021. "Joint optimization of maintenance and inventory policies for multi-unit systems," 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. 12(3), pages 587-607, June.
    3. Ahmed, Umair & Carpitella, Silvia & Certa, Antonella, 2021. "An integrated methodological approach for optimising complex systems subjected to predictive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

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