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Trend analysis method for satellite telemetry parameter long-period data

A technology of telemetry parameters and trend analysis, applied in artificial satellites, special data processing applications, geometric CAD, etc., can solve problems limited to fault and abnormal detection, lack of methods and technologies, etc., and achieve reasonable monitoring results and trend analysis effects

Active Publication Date: 2021-03-16
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In terms of satellite health management, most of the existing methods are limited to fault and anomaly detection, and fault diagnosis, and there is still a lack of relevant methods and technologies in the analysis of satellite long-term health status trends

Method used

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  • Trend analysis method for satellite telemetry parameter long-period data
  • Trend analysis method for satellite telemetry parameter long-period data
  • Trend analysis method for satellite telemetry parameter long-period data

Examples

Experimental program
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Embodiment

[0117] Steps 1 to 5 take the group of telemetry parameters "A group battery "1-9" voltage" and "A group battery voltage" as an example to describe the implementation of the daily correlation monitoring method, and the calculation method of other groups of telemetry parameters is the same as The same; Steps 6 to 7 illustrate the trend calculation and analysis methods of the long-period correlation data of multiple groups of telemetry parameters (as shown in Table 1) and their correlations.

[0118] Table 1 Telemetry parameter table

[0119]

[0120] Step 1: Multi-working condition correlation health baseline configuration

[0121] First, configure the necessary information required for correlation calculation. Configuration items include: associated computing telemetry parameters, operating condition sensitive parameters, operating condition discrimination logic expressions, associated health baseline analytical function models, associated health baseline thresholds, and da...

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Abstract

The invention discloses a trend analysis method for satellite telemetry parameter long-period data. The trend analysis method comprises the following steps: 1, configuring a multi-working-condition relevance health baseline; 2, acquiring telemetry parameters; 3, performing working condition cutting; 4, calculating daily relevance; 5, judging a daily monitoring result; 6, performing long-period multi-scale feature extraction; and 7, performing result analysis and decision making. According to the trend analysis method for the satellite telemetry parameter long-period data, on the basis of dailyincidence relation monitoring, monthly / annual / selected period analysis is completed, long-time-span health state monitoring is achieved, and the health state evolution trend of satellites and typicalsubsystems is mastered; long-term monitoring data are used for grading and staged calculation, a single-day monitoring result is output by taking a day as a unit, the single-day monitoring result isused as input of long-period operation for long-period health state monitoring, the calculation amount is reasonably distributed, and a more reasonable monitoring result and trend analysis are obtained.

Description

technical field [0001] The present application relates to a satellite health monitoring technology, in particular to a trend analysis method for long-period data of satellite telemetry parameters. Background technique [0002] The cross-linking relationship between the subsystems of the satellite and the components of the subsystems is complex, and the space environment is changeable. It is necessary to use accurate and efficient means to monitor them and provide timely fault alarms. There are also complex correlations between satellite telemetry parameters due to structural and functional linkages. Under normal circumstances, the coupling relationship between different telemetry parameters should remain relatively stable, but when the satellite health status is abnormal, it will be reflected in the change and abnormality of the stable correlation between telemetry parameters. Therefore, satellite health loading can be characterized and anomaly detected from the perspective...

Claims

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Application Information

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IPC IPC(8): G06F30/15B64G1/10
CPCG06F30/15B64G1/10
Inventor 陶来发宋登巍王超程玉杰吕琛
Owner BEIHANG UNIV