Abstract
This chapter investigates the reliability measures of an elevator system under the study of different failures. The considered system consists of car which is loaded with steel cables and attached by guide rails for up and down motion, and these steel cables are further attached by the pulley and gearbox system on the top of the building or on the uppermost section of the unit. The elevator faults affect not only the operations of other assets but may also result in injuries or even death. So, governor and breaks are also fitted to have a control over speed and sudden failure. Steel cables are also used in a large number to prevent the accident due to cable failure or complete fracture. The authors also analyze the expected profit in the system after the examination of maintenance cost. They are employing the coverage factor technique to enhance the lifetime of the system along with the birth-death stochastic model of elevator and have also taken some numerical examples of the real impact of these measures. The results of the proposed model offer an effective technique for elevator maintenance. Finally, the authors demonstrate the behavior of each parameter graphically.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Poon OL (1993) U.S. Patent No. 5,230,406. U.S. Patent and Trademark Office, Washington, DC
Edoardo GB (1963) U.S. Patent No. 3,101,130. U.S. Patent and Trademark Office, Washington, DC
Koppensteiner W (1985) U.S. Patent No. 4,556,155. U.S. Patent and Trademark Office, Washington, DC
Avižienis A, Laprie JC, Randell B, Landwehr C (2004) Basic concepts and taxonomy of dependable and secure computing. IEEE Trans Dependable Secure Comput 1(1):11–33
Ram M (2013) On system reliability approaches: a brief survey. Int J Syst Assur Eng Manage 4(2):101–117
Janovský L (1999) Elevator mechanical design. Elevator World Inc., USA
Brunel NB, Lapuyade-Lahorgue J, Pieczynski W (2010) Modeling and unsupervised classification of multivariate hidden Markov chains with copulas. Autom Control IEEE Trans 55(2):338–349
Gennheimer H (2002) Model risk in copula based default pricing models, working paper series. Swiss Banking Inst., University of Zurich and NCCR FINRISK, Zurich, Switzlerland, Working paper no. 19
Nelsen RB (2013) An introduction to copulas, vol 139. Springer Science and Business Media, Berlin
Ram M, Singh SB (2008) Availability and cost analysis of a parallel redundant complex system with two types of failure under preemptive-resume repair discipline using Gumbel-Hougaard family copula in repair. Int J Reliab Qual Saf Eng 15(04):341–365
Ram M, Singh SB (2009) Analysis of reliability characteristics of a complex engineering system under copula. J Reliab Stat Stud 2(1):91–102
Amari SV, Dugan JB, Misra RB (1999) A separable method for incorporating imperfect fault-coverage into combinatorial models. IEEE Trans Reliab 48(3):267–274
Dugan JB, Trivedi KS (1989) Coverage modeling for dependability analysis of fault-tolerant systems. IEEE Trans Comput 38(6):775–787
Arnold TF (1973) The concept of coverage and its effect on the reliability model of a repairable system. IEEE Trans Comput 100(3):251–254
Bouricius WG, Carter WC, Schneider PR (1969). Reliability modeling techniques for self-repairing computer systems. In: Proceedings of the 24th national conference on ACM, August, pp 295–309
Goel LR, Sharma GC, Gupta P (1985) Stochastic analysis of a man-machine system with critical human error. Microelectron Reliab 25(4):669–674
González V, Gómez JF, López M, Crespo A, de León PM (2009) Availability and reliability assessment of industrial complex systems: a practical view applied on a bioethanol plant simulation. In: Martorell et al (eds) Safety, reliability and risk analysis: theory, methods and applications, pp 687–695
Gupta S, Tewari PC (2011) Performance modeling of power generation system of a thermal plant. Int J Eng 24(3):239–248
Ram M, Goyal N (2015) Gas turbine assimilation under copula-coverage approaches. In: Research advances in industrial engineering. Springer International Publishing, Berlin, pp 103–116
Ram M, Singh SB, Singh VV (2013) Stochastic analysis of a standby system with waiting repair strategy. Syst Man Cybern: Syst IEEE Trans 43(3):698–707
Yang N, Dhillon BS (1995) Availability analysis of a repairable standby human-machine system. Microelectron Reliab 35(11):1401–1413
Park ST, Yang BS (2010) An implementation of risk-based inspection for elevator maintenance. J Mech Sci Technol 24(12):2367–2376
Ram M, Manglik M (2014) Stochastic behaviour analysis of a Markov model under multi-state failures. Int J Syst Assur Eng Manage 5(4):686–699
Singh VV, Ram M, Rawal DK (2013) Cost analysis of an engineering system involving subsystems in series configuration. Autom Sci Eng, IEEE Trans 10(4):1124–1130
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Goyal, N., Tandon, A., Saxena, A., Ram, M., Davim, J.P. (2018). Elevator System Analysis in Deliberation of Dependability, Cost Under Coverage, and Copula Approaches. In: Ram, M., Davim, J. (eds) Modeling and Simulation in Industrial Engineering. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-60432-9_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-60432-9_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-60431-2
Online ISBN: 978-3-319-60432-9
eBook Packages: EngineeringEngineering (R0)