Modelling and simulation of repairable mechanical systems reliability and availability

Markov approach is applicable for reliability and availability modelling when time to failure and repair follow an exponential distribution. Since failure time of mechanical components follows Weibull distribution, Markov approach cannot be employed to these systems. In present work, Semi-Markov model, which is appropriate for repairable mechanical systems, is considered. In structural dependency, once a unit of a repairable system is failed due to one or more of its constituent components, the entire unit is taken for repair. Therefore, the repairs are considered at the unit level. This feature of structural dependency in the proposed approach addresses the problem of larger state space. The states at the unit level are derived from the component states to develop the system model. The solutions for reliability and availability are obtained using the Monte Carlo simulation. The suggested approach is realistic than the existing software’s such as Rapid Algorithmic Prototyping Tool for Ordered Reasoning, Blocksim, etc., as failures and repairs are considered at different hierarchical levels. The recommended approach is illustrated for a centrifugal pumping system.

[1]  O. P. Gandhi,et al.  Availability evaluation of manufacturing systems using Semi-Markov model , 2016, Int. J. Comput. Integr. Manuf..

[2]  E. E. Lewis,et al.  Monte Carlo simulation of complex system mission reliability , 1989, WSC '89.

[3]  Thomas M Welte,et al.  A rule-based approach for establishing states in a Markov process applied to maintenance modelling , 2009 .

[4]  Ming Jian Zuo,et al.  Selective maintenance of multi-state systems with structural dependence , 2017, Reliab. Eng. Syst. Saf..

[5]  D. Gupta,et al.  Performance modelling and evaluation of flexible manufacturing systems using a semi-Markov approach , 1989 .

[6]  A. Brall,et al.  Reliability Block Diagram Modeling - Comparisons of Three Software Packages , 2007, 2007 Annual Reliability and Maintainability Symposium.

[7]  Attila Csenki Transient analysis of interval availability for repairable systems modelled by finite semi-Markov processes , 1995 .

[8]  Vipul Jain,et al.  Availability Analysis of Repairable Mechanical Systems Using Analytical Semi-Markov Approach , 2013 .

[9]  Vipul Jain,et al.  Steady-state availability analysis of repairable mechanical systems with opportunistic maintenance by using Semi-Markov process , 2014, Int. J. Syst. Assur. Eng. Manag..

[10]  Aris Christou Monte Carlo reliability model for microwave monolithic integrated circuits , 2008, Qual. Reliab. Eng. Int..

[11]  Enrique López Droguett,et al.  A CONTINUOUS-TIME SEMI-MARKOV BAYESIAN BELIEF NETWORK MODEL FOR AVAILABILITY MEASURE ESTIMATION OF FAULT TOLERANT SYSTEMS , 2008 .

[12]  Kishor S. Trivedi,et al.  Optimization for condition-based maintenance with semi-Markov decision process , 2005, Reliab. Eng. Syst. Saf..

[13]  Vipul Jain,et al.  Availability analysis of mechanical systems with condition-based maintenance using semi-Markov and evaluation of optimal condition monitoring interval , 2018 .

[14]  J. B. Bowles,et al.  Approximate Reliability and Availability Models for High Availability and Fault‐tolerant Systems with Repair , 2004 .

[15]  Y-Z Hu,et al.  Tribology research in China: A personal view , 2009 .

[16]  M. Xie,et al.  Exponential approximation for maintained Weibull distributed component , 2000 .

[17]  Luca Podofillini,et al.  A Monte Carlo simulation approach to the availability assessment of multi-state systems with operational dependencies , 2007, Reliab. Eng. Syst. Saf..

[18]  Agapios N. Platis,et al.  Semi-Markov performance modelling of a redundant system with partial, full and failed rejuvenation , 2010, Int. J. Crit. Comput. Based Syst..

[19]  Enrico Zio,et al.  Semi-Markov processes with semi-regenerative states for the availability analysis of chemical process plants with storage units , 2013 .

[20]  Filippo Petroni,et al.  Reliability measures for indexed semi-Markov chains applied to wind energy production , 2013, Reliab. Eng. Syst. Saf..

[21]  Joanna Soszynska-Budny,et al.  Reliability and Availability Analysis of Complex Port Transportation Systems , 2006, Qual. Reliab. Eng. Int..

[22]  Nikolaos Limnios Dependability analysis of semi-Markov systems , 1997 .

[23]  Antonio Miguel Cruz,et al.  Estimation of the optimal maintenance frequency of medical devices: A monte carlo simulation approach , 2017 .

[24]  Mohammed Hajeeh Availability of deteriorated system with inspection subject to common-cause failure and human error , 2011 .

[25]  Jeffrey P. Kharoufeh,et al.  Semi-Markov models for degradation-based reliability , 2010 .

[26]  V. Kulkarni Modeling and Analysis of Stochastic Systems , 1996 .

[27]  M. Perman,et al.  Semi-Markov models with an application to power-plant reliability analysis , 1997 .

[28]  Roy Billinton,et al.  Reliability evaluation of engineering systems : concepts and techniques , 1992 .

[29]  O. P. Gandhi,et al.  Feasibility of analytical solution for transient availability using semi-Markov process , 2013 .