State probability matrix and its application to GO methodology
Jiang Xiu-hon · Dalian Ligong Daxue xuebao · 2014
State combination and probability formula algorithms are the two commonly used quantification analysis algorithms of GO methodology,but their calculations are too complicated for complex systems with multi-input and multi-state signals.Combining the two algorithms,a simplified GO quantification probability matrix algorithm is presented.Firstly,concept of state probability matrix is introduced and matrix-based quantitative formulas for common operator are derived.Then, based on revising of shared signals,a new equation is presented suitable for any multi-state shared signal.Finally,the results of two examples show that the algorithm is effective.The new algorithm is not only suitable to analyze the state combination relations between operator and signal flow,but also has the advantages of intuitive formula,simple calculation,easy programming,especially a greater advantage in reliability calculation of multi-input multi-state system.