Research Of Joint Importance Compatibility In Fault Tree Analysis

Fault tree analysis, an important branch in systems reliability engineering, is recognized evaluation system reliability and safety of a simple, effective and promising method at home and abroad, The fault tree qualitative and quantitative analysis of the main task is find the, failure mode and the combination of the weak link, for those who can cause the system failure event provides mathematics and the expressions of the chart helps the system designer and reliability system of worker safety and reliability assessment of effectively.Importance is reflected in the system components of a number of important events, an important index on improving system design, system of the key part of monitor plays an important role, etc, in order to achieve with a minimum of human, material and financial resources to improve the reliability of the original system. After this people for more effective to improve the reliability of the whole system, this paper proposes two parts and components combined method, and an important component for system or the reliability design of fault diagnosis system optimization, and provide more and more effectively, This article will launch the analysis and the research on these question.The basic method and theories of fault tree analysis has also studied in this paper. research of the coherent system fault tree analyzed qualitatively and quantitatively. In J.S.Hong and C.H.Lie put forward two joint importance algorithm based on the combination of such as an important degree after the improved algorithm, An improved algorithm is put forward to overcome the disadvantages of the above method, which can both reflect the structural characteristics of the fault tree and contain the reliability of the event itself, for the new algorithm theoretical analysis, what is more,with this algorithm, we can calculate the importance of the event in the same system. By comparative analysis of the different algorithms, we have tested and verified the rationality and validity of this algorithm.