Complex system fault positioning method based on dynamic multilayer coupling network

Abstract

The invention provides a complex system fault positioning method based on a dynamic multilayer coupling network. The method comprises the following steps: step A, constructing the dynamic multilayer coupling network in multiple modes; step B, positioning a complex system fault time period; and step C, positioning a complex system fault node. Aimed at a scene that a traditional reliability analysismeans is usually applied to a single-fault-source and static analysis, the invention provides a complex system fault positioning method based on a dynamic multilayer coupling network by applying a complex network theory in order to solve the problem that it is difficult to realize fault positioning on a complex system with the characteristics of dynamic propagation, cascade failure, multivariatefaults, uncertainty and the like. The method does not need to calculate and compare all node feature information, can quickly locate the fault node of the complex system on the premise of occupying less computer computing power, and has good practical application value.

Description

technical field [0001] The invention proposes a complex system fault location method based on a dynamic multi-layer coupling network, which relates to a complex system fault location method based on a dynamic multi-layer coupling network, and belongs to the fields of complexity science and reliability technology. Background technique [0002] Since the 21st century, the progress of information science led by the Internet has not only driven the rapid development of the world's industrial and economic levels, but also brought impact on system science and system engineering. Traditional simple systems cannot solve the increasingly diversified application requirements. Emerging technologies such as embedded technology, the Internet of Things, and artificial intelligence have greatly improved system performance and made the system structure more and more complex. Taking cyber-physical systems as an example, there are multi-level nonlinear coupling relationships in the informatio...

AI Technical Summary

Problems solved by technology

When a complex system fails, its increasingly complex topology and nonlinear coupling dynamics make the fault have the characteristics of dynamic propagation, cascading failure, and multiple faults. For example, the failure mode of a software-hardware integrated system is often multiple coupling of software and hardware. Failure, smart grid faults cascading with the load after a single node failure, etc., and due to the complexity of coupling faults, even when the same test case is executed, the faults of complex systems are also uncertain

However, traditional reliability analysis methods are often used in single-fault source and static analysis scenarios. For these types of faults with complex mechanisms and structural coupling, it is difficult to effectively implement fault location analysis using traditional reliability methods. How to realize fault location in complex systems has become a a burning problem

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