| Radar,as a long-distance detection equipment,plays a very important role in the modern military field.With the continuous iteration and updating of modern science and technology,the structure of radar systems is becoming increasingly complex,and the requirements for radar detection accuracy in practical applications are becoming higher and higher.For the mechanical elements in the radar system,due to their tightly connected physical structure,once a fault occurs,abnormal signals will be transmitted to the components in contact with them,resulting in fault effects.If the transmission of these abnormal signals cannot be stopped in a timely manner,it will lead to the accumulation of component abnormal signals,chain failures,fault propagation,and ultimately lead to the failure or even paralysis of the entire system.This will not only cause equipment damage and economic losses,but also incalculable losses caused by task failure due to equipment not working properly.Therefore,conducting analysis on the propagation mechanism of radar mechanical faults is of great significance for quickly blocking fault propagation,reducing the scope of fault impact,improving fault diagnosis efficiency,guiding the formulation of fault prevention and maintenance strategies,and ensuring the stable and reliable operation of the system.This article analyzes the fault propagation mechanism of radar mechanical faults.Based on the analysis of the causal relationship between radar mechanical elements,a fault propagation model for radar mechanical systems is established,and the quantitative analysis of the system fault propagation mechanism is achieved by evaluating the importance of network nodes through improved graph convolution network(GCN).The main research content is as follows:First,analyze the composition and operation principle of the radar system,isolate the mechanical elements in the radar system,carry out causal analysis of the radar mechanical elements according to the specific structure of a certain type of detection radar,determine the component fault causal relationship with the help of the functional structure model and FMEA method,establish the fault causal relationship diagram of the radar transmission system based on the fault tree analysis,and conduct qualitative analysis of the radar mechanical fault propagation mechanism,to lay the foundation for establishing a fault propagation model.Then,according to the analysis results of fault causality of radar mechanical elements,a fault propagation model of radar mechanical system based on the directed graph theory is constructed.Using matrix tools,the fault propagation directed graph is hierarchically reconstructed based on the reachability of the directed graph nodes,the directed edge mediators are calculated,the fault propagation directed graph is analyzed with static structural indicators,and the constraints of the structural characteristics of the fault propagation model on the fault propagation are characterized,and use the edge number as an important indicator for identifying the final fault propagation path.Finally,based on the fault characteristics of mechanical components,graph neural network technology is introduced to propose a node importance calculation method based on the improved GCN algorithm.The fault propagation model is used to simulate operating data,calculate the node fault impact,and evaluate the directed edge fault impact.Then,combined with the edge medium number,the fault propagation intensity is comprehensively characterized to identify the critical fault propagation path.The method proposed in this article calculates the fault influence value based on the characteristic values of component faults,determines the fault propagation relationship between components,avoids the uncertainty of fault propagation,and has good engineering application value. |
