nach oben

Erschienen in:

2022 | OriginalPaper | Buchkapitel

Assessment of Reliability Function and Signature of Energy Plant Complex System

verfasst von : Monika Negi, Megha Shah, Akshay Kumar, Mangey Ram, Seema Saini

Erschienen in: Reliability and Maintainability Assessment of Industrial Systems

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The objective of this chapter is to calculate the performance of a complex system of an energy plant. In this model, deals with the universal generating function technique (UGF) for analyzing the performance of the complex fixable condensate system of an energy plant, the process of analyzing the reliability has been used for exaggerate the capability of the complex system by reducing the failure rate. The illustrated system is divided into six subsystems those are arranged into series parallel combination and by using the z transformation with UGF technique we find the reliability, signature, tail signature, expected time and expected cost and these resulting outcomes help to get the highly beneficial probabilistic approach that analyzed the signature and the reliability of the system in effective manner.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Modeling Software Vulnerability Injection-Discovery Process Incorporating Time-Delay and VIKOR Based Ranking

Nächstes Kapitel Reliability Evaluation and Cost Optimization of Solar Air-Conditioner

Andrzejczak K (2015) Stochastic modelling of the repairable system. J KONBiN 35(1):5–14MathSciNetCrossRef

Boland PJ (2001) Signatures of indirect majority systems. J Appl Probab 38(2):597–603MathSciNetCrossRef

Dennehy C, Lawlor PG, Gardiner GE, Jiang Y, Shalloo L, Zhan X (2017) Stochastic modelling of the economic viability of on-farm co-digestion of pig manure and food waste in Ireland. Appl Energy 205:1528–1537CrossRef

Dhillon BS (1992) Stochastic modelling of k-out-of-n units family of systems. Int J Syst Sci 23(8):1277–1287MathSciNetCrossRef

Dong Q, Cui L, Si S (2020) Reliability and availability analysis of stochastic degradation systems based on bivariate Wiener processes. Appl Math Model 79:414–433MathSciNetCrossRef

Eryilmaz S (2012) The number of failed elements in a coherent system with exchangeable elements. IEEE Trans Reliab 61(1):203–207CrossRef

Ghosh R, Trivedi KS, Naik VK, Kim DS (2010) End-to-end performability analysis for infrastructure-as-a-service cloud: an interacting stochastic models approach. In: 2010 IEEE 16th Pacific rim international symposium on dependable computing, pp 125–132

Goyal N, Ram M (2017) Stochastic modelling of a wind electric generating power plant. Int J Qual Reliab Manage 34(1):103–127CrossRef

Gupta S (2019) Stochastic modelling and availability analysis of a critical engineering system. Int J Qual Reliab Manage 36(5):782–796CrossRef

10.

Huang GH, Loucks DP (2000) An inexact two-stage stochastic programming model for water resources management under uncertainty. Civil Eng Syst 17(2):95–118CrossRef

11.

Komal S (2019) Fuzzy reliability analysis of the compressor house unit (CHU) system in a coal fired thermal power plant using TBGFLT technique. Int J Qual Reliab Manage 36(5):686–707

12.

Kumar A, Ram M (2019) Computation interval-valued reliability of sliding window system. Int J Math, Eng Manage Sci 4(1):108–115

13.

Kumar A, Singh SB (2017) Computations of the signature reliability of the coherent system. Int J Qual Reliab Manage 34(6):785–797CrossRef

14.

Kumar A, Singh SB (2018) Signature reliability of linear multi-state sliding window system. Int J Qual Reliab Manage 35(10):2403–2413CrossRef

15.

Kumar A, Singh SB (2019) Signature A-within-B-from-D/G sliding window system. Int J Math, Eng Manage Sci 4(1):95–107

16.

Kumar A, Varshney A, Ram M (2015) Sensitivity analysis for casting process under stochastic modelling. Int J Ind Eng Comput 6(3):419–432

17.

Kumar P, Singh LK, Chaudhari N, Kumar C (2020) Availability analysis of safety-critical and control systems of NPP using stochastic modeling. Ann Nuclear Energy 147:107657

18.

Levitin G (2001) Redundancy optimization for multi-state system with fixed resource-requirements and unreliable sources. IEEE Trans Reliab 50(1):52–59CrossRef

19.

Levitin G (2002) Optimal allocation of elements in a linear multi-state sliding window system. Reliab Eng Syst Saf 76(3):245–254MathSciNetCrossRef

20.

Levitin G (2005) The universal generating function in reliability analysis and optimization, p 442. Springer, London. https://doi.org/10.1007/1-84628-245-4

21.

Machida F, Xiang J, Tadano K, Maeno Y (2013) Composing hierarchical stochastic model from Sys ML for system availability analysis. In: 2013 IEEE 24th international symposium on software reliability engineering (ISSRE), pp 51–60

22.

Malik SC, Munday VJ (2014) Stochastic modelling of a computer system with hardware redundancy. Int J Comput Appl 89(7):26–30

23.

Manatos A, Koutras VP, Platis AN (2016) Dependability and performance stochastic modelling of a two-unit repairable production system with preventive maintenance. Int J Prod Res 54(21):6395–6415CrossRef

24.

Marichal JL, Mathonet P (2013) Computing system signatures through reliability functions. Stat Probab Lett 83(3):710–717MathSciNetCrossRef

25.

Michael S, Mariappan V, Kamat V (2011) Stochastic modelling of failure interaction: Markov model versus discrete event simulation. Int J Adv Oper Manage 3(1):1–18

26.

Navarro J, Rubio R (2009) Computations of signatures of coherent systems with five components. Commun Stat-Simul Comput 39(1):68–84MathSciNetCrossRef

27.

Navarro J, Rychlik T (2010) Comparisons and bounds for expected lifetimes of reliability systems. Eur J Oper Res 207(1):309–317MathSciNetCrossRef

28.

Navarro J, Ruiz JM, Sandoval CJ (2007) Properties of coherent systems with dependent components. Commun Stat—Theory Meth 36(1):175–191

29.

Navarro J, Rychlik T, Shaked M (2007) Are the order statistics ordered? A survey of recent results. Commun Stat—Theory Meth 36(7):1273–1290

30.

Osaki S, Nakagawa T (1976) Bibliography for reliability and availability of stochastic systems. IEEE Trans Reliab 25(4):284–287CrossRef

31.

Ram M, Goyal N (2016) Automated teller machine network inspection under stochastic modelling. J Eng Sci Technol Rev 9(5):1–8CrossRef

32.

Rushdi AMA, Ghaleb FAM (2021) Reliability characterization of binary-imaged multi-state coherent threshold systems. Int J Math, Eng Manage Sci 6(1):309–321

33.

Sahner RA, Trivedi KS (1993) A software tool for learning about stochastic models. IEEE Trans Educ 36(1):56–61CrossRef

34.

Samaniego FJ (2007) System signatures and their applications in engineering reliability, vol 110. Springer Science & Business Media. ISBN 978-0-387-71796-8

35.

Samaniego FJ, Balakrishnan N, Navarro J (2009) Dynamic signatures and their use in comparing the reliability of new and used systems. Naval Res Logistics (NRL) 56(6):577–591MathSciNetCrossRef

36.

Triantafyllou IS (2021) On the lifetime and signature of constrained (k, d)-out-of-n: F reliability systems. Int J Math, Eng Manage Sci 6(1):66–78

37.

Weng Q (2002) Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. J Environ Manage 64(3):273–284CrossRef

38.

Zacharof AI, Butler AP (2004) Stochastic modelling of landfill leachate and biogas production incorporating waste heterogeneity. Model formulation and uncertainty analysis. Waste Manage 24(5):453–462

Titel: Assessment of Reliability Function and Signature of Energy Plant Complex System
verfasst von: Monika Negi
Megha Shah
Akshay Kumar
Mangey Ram
Seema Saini
Verlag: Springer International Publishing
Buch: Reliability and Maintainability Assessment of Industrial Systems
Print ISBN: 978-3-030-93622-8

Electronic ISBN: 978-3-030-93623-5

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-93623-5_11

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner