Automatic interpretation method for telemetering slow variation parameter based on historical data statistical property

Abstract

The invention discloses an automatic interpretation method for a telemetering slow variation parameter based on a historical data statistical property. The method comprises the steps of 1, constructing a historical model database; 2, interpreting the parameter; 3, unifying sampling points of an effective data segment of parameter historical data to the sampling points of the effective data segmentof target data; 4, estimating the target data of the parameter; 5, estimating a standard deviation of the parameter; 6, dividing the target data into four intervals: 0-1 sigma, 1 sigma-2 sigma, 2 sigma-3 sigma and 3 sigma-4 sigma according to an estimated value and the standard deviation of the parameter target data; 7, counting a probability distribution of the parameter target data in each interval; 8, obtaining a potential abnormality parameter table; and 9, checking potential abnormality parameters one by one by an artificial expert based on the potential abnormality parameter table obtained by the abovementioned step and according to an auxiliary decision graph obtained by analysis to finally determine telemetering abnormality parameters in the flight process. With the automatic interpretation method for the telemetering slow variation parameter based on the historical data statistical property, the defects of low artificial interpretation efficiency and data utilization rate areovercome and a lot of manpower is saved for a test process of a carrier rocket and an aircraft.

Description

technical field [0001] The invention relates to the field of interpretation of telemetry parameters, in particular to an automatic interpretation method of telemetry slowly-varying parameters based on statistical characteristics of historical data. Background technique [0002] Interpretation of telemetry parameters is a very important link in the flight process of launch vehicles and aircraft, and its interpretation results are an important basis for judging whether the working status of stand-alone equipment or subsystems is normal during the flight of rockets and aircraft. Usually, the telemetry parameters during a flight range from hundreds to thousands, and the shapes are different, and there are noises and interferences. Therefore, it is difficult to realize automatic interpretation. main mode. Obviously, the manual interpretation mode will consume a lot of human resources, not only the interpretation efficiency and data utilization rate are low, but also there are pr...

AI Technical Summary

Problems solved by technology

Usually, the telemetry parameters during a flight range from hundreds to thousands, and the shapes are different, and there are noises and interferences. Therefore, it is difficult to realize automatic interpretation. main mode

Obviously, the manual interpretation mode will consume a lot of human resources, not only the interpretation efficie

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