Reliability analysis of turbine unit using Intuitionistic Fuzzy Lambda-Tau approach

Authors

  • Dilbagh Panchal Department of Mechanical Engineering, National Institute of Technology Kurukshetra, Haryana, India

DOI:

https://doi.org/10.31181/rme040117042023p

Keywords:

IFLT Reliability parameters, Availability, Maintenance schedule, Reliability indices

Abstract

The current work presents a two phase Intuitionistic Fuzzy (IF) based framework, for investigating the reliability analysis of a Turbine Unit (TU) in a sugar mill process industry. Intuitionistic Fuzzy Lambda Tau (IFLT) approach-based series-parallel expressions have been applied for computing various reliability indices. For series arrangement OR gate transitions expression has been used, and for parallel arrangement AND gate expressions has been used for calculation of reliability parameters for membership and non- membership function. For membership function, system’s availability decreases by 0.000002% for spread value ±15% to±30%, further decreases by 0.000005% for spread value ± 30% to±45%. While, non- membership function-based system’s availability decreases by 0.000003% for spread value ± 15% to±30% and further decreases by 0.000007 % for spread value ± 30% to±45%. The reliability trends at various spreads lay the foundation of studying the failure behaviour of the TU and to plan a maintenance schedule.

References

Aggarwal, A. K., Kumar, S., & Singh, V. (2017). Mathematical modeling and fuzzy availability analysis for serial processes in the crystallization system of a sugar plant. Journal of Industrial Engineering International, 13(1), 47–58. https://doi.org/10.1007/s40092-016-0166-6

Aggarwal, A., Kumar, S., & Singh, V. (2015). Performance modeling of the skim milk powder production system of a dairy plant using RAMD analysis. International Journal of Quality and Reliability Management, 32(2), 167–181. https://doi.org/10.1108/IJQRM-01-2014-0007

Arora, N., & Kumar, D. (1997). Availability analysis of steam and power generation systems in the thermal power plant. Microelectronics Reliability, 37(5), 795–799. https://doi.org/10.1016/0026-2714(95)00115-8

Biswas, T. K., & Das, M. C. (2020). Selection of the barriers of supply chain management in Indian manufacturing sectors due to Covid-19 impacts. Operational Research in Engineering Sciences: Theory and Applications, 3(3), 1–12. https://doi.org/10.31181/ORESTA2030301B

Ecer, F., & Pamucar, D. (2021). MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services. Applied Soft Computing, 104, 107199. https://doi.org/10.1016/J.ASOC.2021.107199

Garg, H. (2014). Performance and behavior analysis of repairable industrial systems using Vague Lambda-Tau methodology. Applied Soft Computing Journal, 22, 323–338. https://doi.org/10.1016/j.asoc.2014.05.027

Gopal, N., & Panchal, D. (2021). A structured framework for reliability and risk evaluation in the milk process industry under fuzzy environment. Facta Universitatis, Series: Mechanical Engineering, 19(2), 307–333. https://doi.org/10.22190/FUME201123004G

Gopal, N., & Panchal, D. (2022). A structured framework for performance optimization using JBLTO, FCOPRAS and FCODAS methodologies. Journal of Quality in Maintenance Engineering, 29(1), 220–248. https://doi.org/10.1108/JQME-11-2021-0087

Gopal, N., & Panchal, D. (2023a). Risk Analysis of Cheese Packaging Machine Using FMEA and FCODAS Approach. In Industrial Reliability and Safety Engineering: Applications and Practices (Vol. 91).

Gopal, N., & Panchal, D. (2023b). Reliability based framework for failure analysis in milk process industry. Decision Making: Applications in Management and Engineering, 6(1), 631–645. https://doi.org/10.31181/DMAME24022023G

Gopal, N., & Panchal, D. (2023c). Fuzzy decision support system for sustainable operational performance optimization for boiler unit in milk process industry. Applied Soft Computing, 109983. https://doi.org/10.1016/j.asoc.2023.109983

Gopal, N., Panchal, D., & Tyagi, M. (2021). RAM Analysis of Industrial System of a Chemical Industry. EAI/Springer Innovations in Communication and Computing, 11–26. https://doi.org/10.1007/978-3-030-70151-2_2/COVER

Jokić, Ž., Božanić, D., & Pamučar, D. (2021). Selection of fire position of mortar units using LBWA and fuzzy MABAC model. Operational Research in Engineering Sciences: Theory and Applications, 4(1), 115–135. https://doi.org/10.31181/ORESTA20401156J

Knezevic, J., & Odoom, E. R. (2001). Reliability modelling of repairable systems using Petri nets and fuzzy Lambda±Tau methodology. Reliability Engineering and System Safety, 73(1), 1–17. www.elsevier.com/locate/ress

Komal, Sharma, S. P., & Kumar, D. (2010). RAM analysis of repairable industrial systems utilizing uncertain data. Applied Soft Computing Journal, 10(4), 1208–1221. https://doi.org/10.1016/j.asoc.2009.12.019

Kumar, D., Singh, J., & Singh, I. P. (1992). Availability of the Crystallization System in the Sugar Industry under Common-Cause Failure. IEEE TRANSACTIONS ON RELIABILITY, 41(6), 85–91. https://doi.org/https://doi.org/10.1016/0026-2714(88)90284-3

Kumar, M., & Kaushik, M. (2020). System failure probability evaluation using fault tree analysis and expert opinions in intuitionistic fuzzy environment. Journal of Loss Prevention in the Process Industries, 67, 104236. https://doi.org/10.1016/J.JLP.2020.104236

Kumar, S., Maity, S. R., & Patnaik, L. (2022). Optimization of Wear Parameters for Duplex-TiAlN Coated MDC-K Tool Steel Using Fuzzy MCDM Techniques. Operational Research in Engineering Sciences: Theory and Applications, 5(3), 40–67. https://doi.org/10.31181/110722105K

Kushwaha, D. K., Panchal, D., & Sachdeva, A. (2021). Reliability analysis of cutting system of sugar industry using intuitionistic fuzzy Lambda–Tau approach. The Handbook of Reliability, Maintenance, and System Safety through Mathematical Modeling, 65–77. https://doi.org/10.1016/B978-0-12-819582-6.00004-6

Kushwaha, D. K., Panchal, D., & Sachdeva, A. (2022). Intuitionistic fuzzy modelling-based integrated framework for performance analysis of juice clarification unit. Applied Soft Computing, 124. https://doi.org/10.1016/j.asoc.2022.109056

Lisnianski, A., Elmakias, D., Laredo, D., & Ben Haim, H. (2012). A multi-state Markov model for a short-term reliability analysis of a power generating unit. Reliability Engineering and System Safety, 98(1), 1–6. https://doi.org/10.1016/J.RESS.2011.10.008

Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016–3028. https://doi.org/10.1016/J.ESWA.2014.11.057

Pamučar, D., Mihajlović, M., Obradović, R., & Atanasković, P. (2017). Novel approach to group multi-criteria decision making based on interval rough numbers: Hybrid DEMATEL-ANP-MAIRCA model. Expert Systems with Applications, 88, 58–80. https://doi.org/10.1016/J.ESWA.2017.06.037

Panchal, D., & Kumar, D. (2016a). Integrated framework for behaviour analysis in a process plant. Journal of Loss Prevention in the Process Industries, 40, 147–161. https://doi.org/10.1016/j.jlp.2015.12.021

Panchal, D., & Kumar, D. (2016b). Stochastic behaviour analysis of power generating unit in thermal power plant using fuzzy methodology. OPSEARCH, 53(1), 16–40. https://doi.org/10.1007/s12597-015-0219-4

Panchal, D., Singh, A. K., Chatterjee, P., Zavadskas, E. K., & Keshavarz-Ghorabaee, M. (2019). A new fuzzy methodology-based structured framework for RAM and risk analysis. Applied Soft Computing Journal, 74, 242–254. https://doi.org/10.1016/j.asoc.2018.10.033

Saini, M., & Kumar, A. (2019). Performance analysis of evaporation system in sugar industry using RAMD analysis. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 41(4), 1–10. https://doi.org/10.1007/s40430-019-1681-3

Sharma, R. K., Kumar, D., & Kumar, P. (2008). Predicting uncertain behavior of industrial system using FM-A practical case. Applied Soft Computing Journal, 8(1), 96–109. https://doi.org/10.1016/j.asoc.2006.11.006

Sharma, S. P., Kumar, D., & Kumar, A. (2012a). Reliability analysis of complex multi-robotic system using GA and fuzzy methodology. Applied Soft Computing Journal, 12(1), 405–415. https://doi.org/10.1016/j.asoc.2011.08.031

Sharma, S. P., Kumar, D., & Kumar, A. (2012b). Behavior prediction of washing system in a paper industry using GA and fuzzy lambda-tau technique. Applied Mathematical Modelling, 36(6), 2614–2626. https://doi.org/10.1016/J.APM.2011.09.044

Sharma, S. P., & Vishwakarma, Y. (2014). Application of Markov Process in Performance Analysis of Feeding System of Sugar Industry. Journal of Industrial Mathematics, 2014, 1–9. https://doi.org/10.1155/2014/593176

Solomon, S. (2011a). Sugarcane By-Products Based Industries in India. Sugar Tech, 13(4), 408–416. https://doi.org/10.1007/S12355-011-0114-0/TABLES/1

Solomon, S. (2011b). The Indian Sugar Industry: An Overview. Sugar Tech, 13(4), 255–265. https://doi.org/10.1007/S12355-011-0115-Z/TABLES/4

Srivastava, P., Khanduja, D., & Ganesan, S. (2020). Fuzzy methodology application for risk analysis of mechanical system in process industry. International Journal of System Assurance Engineering and Management, 11(2), 297–312. https://doi.org/10.1007/s13198-019-00857-y

Vishwakarma, Y., & Sharma, S. P. (2016). Uncertainty analysis of an industrial system using Intuitionistic Fuzzy Set Theory. International Journal of System Assurance Engineering and Management, 7(1), 73–83. https://doi.org/10.1007/s13198-015-0384-0

Yadav, C. S. ., Singh, R. ., & Singh, Y. (2014). Reliability analysis of object oriented systems using vague lambda-tau modelling. International Journal of Fuzzy Computation and Modelling, 1(2), 151–168. 10.1504/IJFCM.2014.067123

Zadeh, L. A. (1965). Fuzzy Sets. Information and Control, 8(3), 338–353.

Published

2023-04-17

How to Cite

Reliability analysis of turbine unit using Intuitionistic Fuzzy Lambda-Tau approach. (2023). Reports in Mechanical Engineering, 4(1), 47-61. https://doi.org/10.31181/rme040117042023p