Efficient Environmental Monitoring System Based on Data Fusion and Predictive Prediction

In view of the characteristics of both analog and digital signals in equipment hybrid circuit, this paper adopts genetic algorithm to inject fault signals through SABER simulation method, and analyzes the diagnosis on fault of hybrid circuit by genetic algorithm. Taking the basic principle and operation of genetic algorithm, data collection, the fitness function of genetic algorithm and selecting and optimizing genetic algorithm for fault diagnosis of specific airborne DC converter circuit for consideration, the validity of the method is verified, and a new diagnosis method for mixed signal circuit is provided.