System and method for quickly detecting satellite telemetry time series data exception in real time

Abstract

The invention provides a method for quickly detecting satellite telemetry time series data exception in real time. The method is suitable for telemetry time series data of satellite component parameters. According to the method, a sliding window is used for carrying out segmentation processing on the telemetry data flow, and each piece of window data is compared with the first k windows, so the method has the adaptability, and fixed parameter upper and lower limits do not need to be manually set. According to the method, data is analyzed from multiple perspectives of a time domain and a frequency domain, and four real-time anomaly detection technologies are integrated, including time domain statistic anomaly detection, time domain first-order derivative anomaly detection, frequency domainsimilarity anomaly detection and frequency domain statistic anomaly detection. According to the method, multiple anomaly detection technologies can be used at the same time or used in a combined mode,so the omission ratio and the false alarm rate are reduced, satellite telemetering time series data anomalies can be rapidly detected in real time by effectively utilizing telemetering time series data streams, experts are helped to monitor satellite operation states in real time, and healthy and safe operation of satellites is guaranteed.

Description

technical field [0001] The invention relates to the field of satellite detection and the technical field of computer data mining, in particular to a method for fast and real-time detection of anomalies in satellite telemetry time series data. Background technique [0002] Due to the complexity of the satellite operating environment and the influence of various factors, various abnormalities will occur during the satellite's in-orbit operation. Timely detection and discovery of data anomalies is one of the keys to ensure the safe and healthy operation of satellites. [0003] The telemetry time-series data flow during the satellite’s in-orbit operation is a direct observation of the parameters of each component under each subsystem of the satellite, which can reflect the working status of each component. Finding abnormal changes in data is an important step in satellite fault diagnosis. Finding abnormal changes in satellite telemetry time-series data is like first discoverin...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the shortcomings of the above-mentioned prior art and solve the problem of real-time anomaly detection of the telemetry time-series data of satellites in orbit by using computers, the purpose of the present invention is to provide a method for fast real-time detection of satellite telemetry time-series data anomalies, which is suitable for satellite component parameters Real-time detection of telemetry time-series data

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