Simplification of inclusion-exclusion on intersections of unions with application to network systems reliability

Reliability of safety-critical systems is an important issue in system engineering and in most practical situations the reliability of a non series-parallel network system has to be calculated. Some methods for calculating reliability use the probability principle of inclusion-exclusion. When dealing with complex networks, this leads to very long mathematical expressions which are usually computationally very expensive to calculate. In this paper, we provide a new expression to simplify the probability principle of inclusion-exclusion's formula for intersections of unions, which appear when calculating reliability on non series parallel network systems. This new expression has much less terms, which reduces enormously the computational cost. We also show that the general form of the probability principle of inclusion-exclusion's formula has double exponential complexity whereas the simplified form has only exponential complexity with a linear exponent. Finally, we illustrate how to use this result when calculating the reliability of a door management system in aircraft engineering.

[1]  Mark Allen Boyd Dynamic fault tree models: techniques for analysis of advanced fault tolerant computer systems , 1992 .

[2]  Aman Verma,et al.  An efficient methodology to solve the K-terminal network reliability problem , 2016, 2016 3rd International Conference on Recent Advances in Information Technology (RAIT).

[3]  David W. Coit,et al.  Solving the redundancy allocation problem using a combined neural network/genetic algorithm approach , 1996, Comput. Oper. Res..

[4]  Nan Chen,et al.  New method for multi-state system reliability analysis based on linear algebraic representation , 2015 .

[5]  María Bárbara Álvarez Torres,et al.  On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops , 2004, Lecture Notes in Computer Science.

[6]  Yi-Kuei Lin,et al.  Reliability of a Multi‐State Computer Network Through k Minimal Paths Within Tolerable Error Rate and Time Threshold , 2016, Qual. Reliab. Eng. Int..

[7]  Christophe Bérenguer,et al.  A practical comparison of methods to assess sum-of-products , 2003, Reliab. Eng. Syst. Saf..

[8]  Stephen B. Twum,et al.  Models in design for reliability optimisation , 2013 .

[9]  J. O. Gobien,et al.  A new analysis technique for probabilistic graphs , 1979 .

[10]  Wei-Chang Yeh An Improved Sum-of-Disjoint-Products Technique for Symbolic Multi-State Flow Network Reliability , 2015, IEEE Transactions on Reliability.

[11]  Xinming Qian,et al.  A simple algorithm for sum of disjoint products , 2012, 2012 Proceedings Annual Reliability and Maintainability Symposium.

[12]  M. Rausand Reliability of Safety-Critical Systems: Theory and Applications , 2014 .

[13]  Zahir Tari,et al.  On the Move to Meaningful Internet Systems. OTM 2018 Conferences , 2018, Lecture Notes in Computer Science.

[14]  Shuming Zhou,et al.  The Reliability Analysis Based on Subsystems of $(n,k)$ -Star Graph , 2016, IEEE Transactions on Reliability.

[15]  David W. Coit,et al.  A Monte-Carlo simulation approach for approximating multi-state two-terminal reliability , 2005, Reliab. Eng. Syst. Saf..

[16]  John Yuan,et al.  A factoring method to calculate reliability for systems of dependent components , 1988 .

[17]  Frank A. Tillman,et al.  System-Reliability Evaluation Techniques for Complex/Large SystemsߞA Review , 1981, IEEE Transactions on Reliability.

[18]  S. Rahman Reliability Engineering and System Safety , 2011 .

[19]  J. Abraham An Improved Algorithm for Network Reliability , 1979, IEEE Transactions on Reliability.

[20]  Haiqing Li,et al.  A new fAult tree AnAlysis method : fuzzy dynAmic fAult tree AnAlysis , 2012 .

[21]  A. Saidane,et al.  Optimal Reliability Design: Fundamentals and Applications , 2001 .

[22]  Zhangchun Tang,et al.  Surrogate-model-based reliability method for structural systems with dependent truncated random variables , 2017 .

[23]  Kishor S. Trivedi,et al.  A survey of efficient reliability computation using disjoint products approach , 1995, Networks.

[24]  Lirong Cui,et al.  Performability analysis of multi-state series-parallel systems with heterogeneous components , 2018, Reliab. Eng. Syst. Saf..

[25]  Wei-Chang Yeh An improved sum-of-disjoint-products technique for the symbolic network reliability analysis with known minimal paths , 2007, Reliab. Eng. Syst. Saf..

[26]  Lorenzo Traldi,et al.  Preprocessing minpaths for sum of disjoint products , 2003, IEEE Trans. Reliab..

[27]  Ziyou Gao,et al.  A new efficient algorithm for finding all d-minimal cuts in multi-state networks , 2017, Reliab. Eng. Syst. Saf..

[28]  Gregory Levitin,et al.  Block diagram method for analyzing multi-state systems with uncovered failures , 2007, Reliab. Eng. Syst. Saf..

[29]  Neeraj Kumar Goyal,et al.  Sum of disjoint product approach for reliability evaluation of stochastic flow networks , 2017, Int. J. Syst. Assur. Eng. Manag..

[30]  David Sankoff,et al.  AN INEQUALITY FOR PROBABILITIES , 1967 .

[31]  Klaus D. Heidtmann,et al.  Smaller sums of disjoint products by subproduct inversion , 1989 .

[32]  Li Xu,et al.  The Reliability of Subgraphs in the Arrangement Graph , 2015, IEEE Transactions on Reliability.