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Behavioural analysis of urea decomposition system in a fertiliser plant

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  • S.P. Sharma
  • Harish Garg

Abstract

Reliability, availability and maintainability (RAM) analysis of a system is helpful in carrying out design modifications, if any, and it is required to achieve minimum failures or to increase mean time between failures (MTBF), and thus it is used to plan maintainability requirements, optimise reliability and maximum equipment availability. To this effect, this paper presents the application of RAM analysis in the process industry. Fuzzy Lambda–Tau methodology is used here to model the system behaviour. Each system components, failure rate and repair time are represented by triangular fuzzy numbers with known spread. The methodology uses Petri nets to model the system instead of fault tree because it allows efficient simultaneous generation of minimal cuts and path sets. Various reliability parameters such as MTBF, expected number of failures (ENOF), reliability, availability, etc. are calculated. The computed results are presented to plant personnel for their performance considerably by adopting and practicing suitable maintenance policies/strategies.

Suggested Citation

  • S.P. Sharma & Harish Garg, 2011. "Behavioural analysis of urea decomposition system in a fertiliser plant," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 8(3), pages 271-297.
    • Handle: RePEc:ids:ijisen:v:8:y:2011:i:3:p:271-297
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    Citations

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    Cited by:

    1. Yashi Vishwakarma & S. P. Sharma, 2016. "Uncertainty analysis of an industrial system using Intuitionistic Fuzzy Set Theory," 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. 7(1), pages 73-83, March.
    2. Harish Garg, 2018. "Analysis of an industrial system under uncertain environment by using different types of fuzzy numbers," 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. 9(2), pages 525-538, April.
    3. Dilbagh Panchal & Dinesh Kumar, 2017. "Stochastic behaviour analysis of real industrial system," 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 1126-1142, November.
    4. Al-Khyatt Muhamad Nadhem & Vsevolod Sklabinskyi & Ruslan Ostroha & Maksym Skydanenko & Mykola Yukhymenko & Jozef Bocko & Denys Ostroha & Dmitry Zabitsky & Oleksii Moskalchuk & Andrii Serhiienko, 2023. "Study of temperature changes in mineral fertiliser granules after contact with air in a granulation tower," Technology audit and production reserves, PC TECHNOLOGY CENTER, vol. 4(3(72)), pages 10-14, August.

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