Reliability Allocation of Seafloor Observation Network by Using Monte Carlo Method

Abstract

Seafloor observation network provides limited opportunity for repair due to the atrocious weather on the sea. As a result, reasonable reliability allocation methods are required to assure the network is sufficiently reliable during expected years. In this thesis, betweenness is used for evaluating the importance of component based on binary search algorithm, and residual connectedness reliability is calculated according to Monte Carlo method to avoid combinatorial explosion. This method is applied on meshed seafloor observation network to obtain satisfying reliability allocation for backbone nodes. Further, the relationship between nodes reliability allocation and residual connectedness reliability is discussed, on the basis of which certain suggestions for network improvement are proposed.

A knowledge based hierarchical reliability allocation (HIRAL) approach for shipboard systems

“…Apart from the MCDM methods aforementioned, multi objective optimization methods (Malec, 1977;Sakawa, 1978;Cho et al, 1987;Bari et al, 1985;Rao and Dhingra, 1992;Liu & Li, 2003;Zavala, 2005;Zhao et al, 2005;Zio and Bazzo, 2011;Zhang and Wu, 2012;Zio and Bazzo, 2012;Sangeetha et al, 2014;Falcone et al, 2018), integrated factors method (Falcone, Silvestri and Di Bona, 2003), genetic algorithm method (Yang et al, 1999;Lu et al, 2004;Kumral, 2005;Zia and Coit, 2006;Xu et al, 2007;Liu et al, 2007;Liao 2009;, Markov Chain (Ke-Rong et al, 2001), Bayesian network (Qian et al, 2012;Ma et al, 2016;), FMEA (Chang et al, 2013;Sadeghi et al, 2014;Wang et al, 2016), Monte Carlo (Fan et al, 2014;), critical flow method (Silvestri et al, 2015) and data envelopment analysis method (Zhang & Huang, 2016) are other important methods used in the literature to minimize the shortcomings of traditional reliability allocation methods.…”

“…Apart from the MCDM methods aforementioned, multi-objective optimization methods, [25][26][27][28][29][30][31][32][33][34][35][36][37][38] the integrated factors method, 39 the genetic algorithm method, [40][41][42][43][44][45][46][47] Markov Chain, 48 Bayesian network, 17,49 FMEA, 23,50,51 Monte Carlo 52,53 the critical flow method, 54 and the data envelopment analysis method 55 are other important methods used in the literature to minimize the shortcomings of traditional reliability allocation methods.…”

A knowledge based hierarchical reliability allocation (HIRAL) approach for shipboard systems

“…The studies of the authors Zahedi and Ashrafi (1991), Zhang and Liao (2009) Apart from the MCDM methods aforementioned, multi objective optimization methods (Malec, 1977;Sakawa, 1978;Cho et al, 1987;Bari et al, 1985;Rao and Dhingra, 1992;Liu & Li, 2003;Zavala, 2005;Zhao et al, 2005;Zio and Bazzo, 2011;Zhang and Wu, 2012;Zio and Bazzo, 2012;Sangeetha et al, 2014;Falcone et al, 2018), integrated factors method (Falcone, Silvestri and Di Bona, 2003), genetic algorithm method (Yang et al, 1999;Lu et al, 2004;Kumral, 2005;Zia and Coit, 2006;Xu et al, 2007;Liu et al, 2007;Liao 2009;, Markov Chain (Ke-Rong et al, 2001), Bayesian network (Qian et al, 2012;Ma et al, 2016;), FMEA (Chang et al, 2013;Sadeghi et al, 2014;Wang et al, 2016), Monte Carlo (Fan et al, 2014;), critical flow method (Silvestri et al, 2015) and data envelopment analysis method (Zhang & Huang, 2016) are other important methods used in the literature to minimize the shortcomings of traditional reliability allocation methods.…”