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An Innovational Approach for Estimation of Reliability Indices Accounting Repair Time of Hose Reel System-Safety Empirical Outlook

Aditya Tiwary, Praveen Patel

Abstract


Numerous reliability indices estimation of a system or component or element is very important in order to predict its availability and unavailability. Reliability is the specification which tells about the availability of the system under proper working conditions for a given period of time. Reliability of numerous complex engineering systems has been estimated in literature. In view of above, in this paper an innovational approach for estimation of various reliability indices such as failure rate, repair time and unavailability of a practical Hose Reel system is attained and different framework are evaluated. When an engineering system or device is in working condition, then there is a chance that the system or device fails and then a proper repair will be needed. The complete time period when the system or device is working is distributed in failure time and repair time respectively. A Hose Reel system is an engineering system which is developed in order to control the occurrence of fire and is a system which is used in emergency. As hose reel system is used in emergency condition, therefore proper working in the given time period is very important for the system and therefore there is a need for evaluating its various reliability indices. The unavailability of each and every component is evaluated. Component level failure rate, repair rate and unavailability were also estimated for the system. A practicable Hose Reel system put in place for the safety motive of the institute was considered for evaluating various indices.


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References


R.N. Allan, E.N. Dialynas, I. R. Homer. “Modelling and evaluating the reliability of distribution systems”, IEEE Transactions on Power Apparatus and Systems. November 1979; PAS–98 (6): 2181–2189.

E. Wojczynski, R. Billinton, “Effects of distribution system reliability index distributions upon interruption cost/reliability worth estimates”, IEEE Transactions on Power Apparatus and Systems. November 1985; PAS-104 (11): 3229–3235.

A.K. Verma, A. Srividya, H.M.R. Kumar, “A framework using uncertainties in the composite power system reliability evaluation”, Electric Power Components and Systems. 2002; 30 (7): 679–691.

Z. Zheng, L. Cui, Alan G. Hawkes, “A study on a single-unit Markov repairable system with repair time omission”, IEEE Transactions on Reliability. June 2006; 55 (2): 182–188.

P. Jirutitijaroen, C. singh, “Comparison of simulation methods for power system reliability indexes and their distributions”, IEEE Transactions on Power Systems. May 2008; 23 (2): 486–493.

O. Dzobe, C.T. Gaunt, R. Herman, “Investigating the use of probability distribution functions in reliability-worth analysis of electric power systems”, International Journal of Electrical Power and Energy Systems. May 2012; 37 (1): 110–116.

I.S. Bae, J.O. Kim, “Reliability evaluation of customers in a microgrid”, IEEE Transactions on Power Systems. August 2008; 23 (3): 1416–1422.

R. Billinton, P. Wang, “Reliability-network-equivalent approach to distribution-system-reliability evaluation”, IEE Proceeding: generation, transmission and distribution. 1998; 145 (2): 149–153.

S. Bhowmik, S.K. Goswami, P.K. Bhattacherjee, “A New power distribution system planning through reliability evaluation technique”, Electric Power Systems Research. June 2000; 54 (3): 169–179.

C. Singh, “Markov cut-set approach for the reliability evaluation of transmission and distribution systems”. IEEE Transactions on Power Apparatus and Systems. June 1981; PAS-100 (6): 2719–2725.

R. Billinton, “Composite system reliability evaluation”. IEEE Transactions on Power Apparatus and Systems, 88, pp. 276–281, 1969.

P. Jirutitijaroen, C. singh, “Comparison of simulation methods for power system reliability indexes and their distributions”. IEEE Trans. on Power Systems, 23, pp. 486–493, 2008.

Aditya Tiwary, Swati Tiwary, “Evaluation of Reliability Indices of Roy Billinton Test System (RBTS) Bus-2 Distribution System for Educational Purpose”, Reliability: Theory and Applications. 2021; 16 (1): 54–61.

Aditya Tiwary and Swati Tiwary, “An Innovative Methodology for Evaluation of Reliability Indices of Electric Traction System”, Reliability: Theory and Applications. 2021; 16 (2): 13–21.

Jirutitijaroen P, singh C, “Comparison of simulation methods for power system reliability indexes and their distribution”. IEEE Transactions on Power Systems. May 2008; 23 (2): 486–92.

Aditya Tiwary, R. Arya, S.C. Choube and L.D. Arya, “Determination of reliability indices for distribution system using a state transition sampling technique accounting random down time omission”. Journal of The Institution of Engineers (India): series B. 2013; 94: 71–83,

A. Tiwary, “Inspection-Repair-Based Availability Optimization of Distribution System Using Bare Bones Particle Swarm Optimization”. Chapter in Book Series Computational Intelligence: Theories, Applications and Future Directions–Volume II, Advances in Intelligent Systems and computing, 799, 2019

Aditya Tiwary, R. Arya, L.D. Arya, S.C. Choube, “Bootstrapping based technique for evaluating reliability indices of RBTS distribution system neglecting random down time”. The IUP Journal of Electrical and Electronics Engineering. April 2017; X (2): 48–57.

Volkanavski, Cepin M, Mavko B, “Application of fault tree analysis for assessment of the power system reliability”. Reliability Engineering & System Safety. 2009; 94 (6): 1116–27.

Li BM, Su CT, Shen CL, “The impact of covered overhead conductors on distribution reliability and safety”. International Journal of Electrical Power & Energy Systems. 1989; 32 (4): 281–289.

L.D. Arya, S.C. Choube, R. Arya, Aditya Tiwary, “Evaluation of Reliability indices accounting omission of random repair time for distribution systems using Monte Carlo simulation”, International Journal of Electrical Power and Energy System. 2012; 42 (1): 533–541.

Aditya Tiwary, R. Arya, S.C. Choube, L.D. Arya, “Determination of Optimum period between Inspections for Distribution system based on Availability Accounting Uncertainties in Inspection Time and Repair Time”, Journal of The Institution of Engineers (India): series B (Springer). June 2012; 93 (2): 67–72.

R. Arya, A. Tiwary, S.C. Choube, L.D. Arya, “A smooth bootstrapping based technique for evaluating distribution system reliability indices neglecting random interruption duration”. International Journal of Electrical Power & Energy System. 2013; 51: 307–310.

A. Tiwary, “Inspection–Maintenance-Based Availability Optimization of Feeder Section Using Particle Swarm optimization”. Soft Computing for Problem Solving-Advances in Intelligent Systems and Computing, 816, pp. 257–272, 2018

Aditya Tiwary, “Reliability evaluation of radial distribution system–A case study”. Reliability: Theory and Applications. 2019; 4 (55): 9–13.

I. Sarantakos, D.M. Greenwood, J. Yi, S.R. Blake, P.C. Taylor, “A method to include component condition and substation reliability into distribution system reconfuration”. International Journal of Electrical Power & Energy System. 2019; 109: 122–138.

Aditya Tiwary, “Customer orientated indices and reliability evaluation of meshed power distribution system”. Reliability: Theory and Applications. 2020; 15 [56 (1)]: 10–19.

A. Tiwary, P. Patel, “Reliability Evaluation of Hose Reel System-A Practical Approach”. Journal of Industrial Safety Engineering, 7: 30–34, 2020.

N.R. Battu, A.R. Abhyankar, N. Senroy, “Reliability Compliant Distribution System Planning Using Monte Carlo Simulation”. Electric power components and systems. 2019; 47 (11–12): 985–997.

Aditya Tiwary, “Application of Non-Parametric Bootstrap Technique for evaluating MTTF and Reliability of a Complex Network with Non-Identical Component Failure Laws”. Reliability: Theory and Applications, 15, pp. 62–69, 2020.

Aditya Tiwary, Swati Tiwary, “Evaluation of Customer Orientated Indices and Reliability Study of Electrical Feeder System”. Reliability: Theory and Applications. 2020; 15 [3 (58)]: 36–43.


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