Optimal selection method for operation health state monitoring points of complex electronic system

Abstract

The optimal selection method for the operation health state monitoring points of the complex electronic system, disclosed by the invention, is high in accuracy and higher in monitoring efficiency. According to the technical scheme, the method comprises the following steps of: analyzing an optimal target and a constraint condition of a complex electronic system based on state monitoring, dividing a fault diagnosis process of the complex electronic system into a strategy of three steps of fault detection, fault isolation and fault identification, and constructing a monitoring point optimization model of the running state of the complex electronic system; in engineering application, a monitoring point set is selected, whether monitoring point design can reach a specified system fault diagnosis capability evaluation index or not is judged, according to selected monitoring point constraint conditions, faults are calculated, calculation is carried out based on a fault detection rate and a fault isolation rate of a matrix D, and columns related to all elements are taken out from the matrix D to form a new matrix; and based on a particle swarm algorithm, calculating the fitness of each individual on the correlation matrix group, selecting the adaptive crossover mutation probability of annealing mutation genetic operation, and decoding and outputting an optimal solution.

Description

technical field [0001] The invention relates to a method for optimizing the monitoring points of the operation health state of a complex electronic system, which is used for optimizing the overall layout of the monitoring points of the operation health state of the complex electronic system under the condition of coexistence of "hardware" monitoring points and "logic" monitoring points, and is suitable for health management Design analysis tool software. Background technique [0002] With the wide application of digital and radio frequency large-scale integrated circuits and chips, airborne electronic systems or equipment are becoming more and more integrated, miniaturized and integrated. While improving the functional performance of equipment and reducing volume power consumption, It also greatly increases the complexity, correlation and uncertainty of the system, as well as the difficulty of troubleshooting, location and maintenance in the field. Complex electronic system...

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Problems solved by technology

[0008] The purpose of the present invention is to solve the problems of poor accuracy of the optimization model of the operating health status monitoring point, difficulty in obtaining input data, and premature convergence of the solution algorithm and falling into local optimum when the hardware monitoring point and logic monitoring point of the complex electronic system coexist, and provide a solution An optimization method for complex electronic system operation status monitoring points with high accuracy, easy data acquisition, and higher monitoring efficiency

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