Linlin Shi
ABSTRACT
This paper uses fault injection to simulate the degradation state of each module of P2020. Based on the time-domain data of the sensitivity parameters of each module under normal and fault injection conditions, a health and effectiveness evaluation method for general aviation processing system based on parameter feature analysis isproposed. Firstly, feature extraction, feature selection and principal component analysis are used to form a sample set of health assessment parameters for each module of P2020 system. Then, mahalanobis distance is used to evaluate the health status of each key module and calculate the health degree. Finally, the system effectiveness of P2020 is obtained by AHP (The analytic hierarchy process) and ADC model. The analysis of test data shows that this method has high accuracy and accuracy for health and effectiveness evaluation of general aviation processing system.
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Index Terms
- Health and Effectiveness Assessment of Aeronautical General Processing System Based on Feature Analysis of State Parameters
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