Intelligent Analysis Method in Safety Science—Space Fault Tree and Factor Space

Abstract

The development of the basic theory of safety science is relatively short compared with other disciplines, and the corresponding basic theory is weaker. However, with the development of science and technology, more and more complex systems have emerged. These systems are significantly different from earlier systems, including in complexity, factor changes, data information, and system control. Traditional reliability and fault analysis methods are difficult to solve. In order to manage these problems, the author proposes a space fault tree theory to study system reliability and system fault evolution process. At present, the space fault tree theory is divided into four parts, the space fault tree theory foundation, the intelligent space fault tree, the space fault network, the system motion space and the system mapping theory. The space fault tree is combined with factor space, a cloud model, fuzzy structure element, and system stability and information ecology methodology. The objective is for the space fault tree theory to complete the system reliability and fault analysis, as well as fault big data analysis, fault logic relationship reasoning, system fault evolution process research and system motion change measurement capability. In order to demonstrate the results of the space fault tree research, this paper is written to briefly introduce the four major parts and main contents and results of the space fault tree theory.

Keywords

• safety science
• safety system engineering
• space fault tree
• factors space