Study on the relationship between system reliability and influencing factors under big data and multi-factors

Abstract

The system reliability is related to the factors which affect the system reliability in a multi-factor influencing environment. At the same time, the cumulative fault data increases rapidly as the system operates. These big data magnitude fault data also contains system reliability characteristics. Therefore, it is urgent to solve the problem of system reliability analysis which is suitable for big data and multi factors. The research adopts the method of space fault tree (SFT) and factor space (FS), which are proposed by the author to solve these problems. SFT can solve the system reliability analysis under the influence of many factors. FS has the ability of large data processing and logic analysis. Fault probability is used to represent reliability, FS is introduced into SFT. The logical relationship between reliability and influencing factors is studied, and we also put forward the corresponding analysis method. On the basis of the existing research, the SFT theory is improved, which can be used to infer the causal relationship, reduce factor dimension and compress fault data. This research is the intersection of safety system science and information science intelligent technology. It can provide the basic theory and application method for the reliability analysis of various industrial and mining enterprises, military and other fields.