Research on Complex System Intelligent Maintenance Decision Method

Abstract

With the development of information technology, the goal of complex system maintenance and support is to be scientific prediction and precise logistics. There is an urgent need to build a flexible networked logistics architecture, to utilize the equipment's real-time health information efficiently and to schedule logistics resources successfully in a complex and dynamic logistics environment. In order to establish a precise, dynamic and networked maintenance system, the characteristics of logistics networks are analyzed entirely to improve logistics organization flexibility, a method of state collaborative analysis and intelligent support decision-making is proposed. This method generates test data through offline and online execution of fault test cases; based on online state monitoring and historical data of sensors, the equipment state is estimated and judged, thereby providing intelligent guarantee decision-making services.