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Satellite anomaly detection method based on improved Gaussian process regression model

A detection method and anomaly detection technology, applied in the satellite field, can solve the problems of highly complex GPR models, false alarms in detection results, and reduced generalization ability, which is beneficial to satellite health status monitoring and system maintenance, and reduces the false alarm rate. , the effect of reducing complexity

Active Publication Date: 2020-03-24
INNOVATION ACAD FOR MICROSATELLITES OF CAS +1
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Problems solved by technology

However, due to the multi-dimensionality of the abnormal detection data on the satellite, it is easy to make the GPR model highly complex, and the high degree of fitting of the model will lead to a decrease in the generalization ability and an increase in the generalization error, resulting in a large number of false alarms in the detection results.

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  • Satellite anomaly detection method based on improved Gaussian process regression model
  • Satellite anomaly detection method based on improved Gaussian process regression model
  • Satellite anomaly detection method based on improved Gaussian process regression model

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[0023] In the following description, the present invention is described with reference to various examples. One skilled in the art will recognize, however, that the various embodiments may be practiced without one or more of the specific details, or with other alternative and / or additional methods, materials, or components. In other instances, well-known structures, materials, or operations are not shown or described in detail so as not to obscure the inventive concepts of the present invention. Similarly, for purposes of explanation, specific quantities, materials and configurations are set forth in order to provide a thorough understanding of embodiments of the invention. However, the invention is not limited to these specific details. Furthermore, it should be understood that the embodiments shown in the drawings are illustrative representations and are not necessarily drawn to correct scale.

[0024] In this specification, reference to "one embodiment" or "the embodiment...

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Abstract

The invention provides a satellite anomaly detection method based on an improved Gaussian process regression model. The method comprises the steps of determining a prediction variable according to thecorrelation distance from a response variable and the change of the correlation distance before and after abnormality, then establishing a GPR model, calculating posterior distribution of a responsevariable set corresponding to the prediction variable, determining a prediction range according to generalization errors of the model, and judging whether abnormality occurs or not according to the prediction range.

Description

technical field [0001] The invention relates to the field of satellite technology, in particular to satellite anomaly detection technology. Background technique [0002] The structure of modern satellites is becoming more and more complex, the degree of automation is constantly improving, and the requirements for intelligence and autonomy are getting higher and higher. The development of independent health management technology is of great significance to ensure the safe operation of satellites in orbit. Anomaly detection is an important part of satellite autonomous health management. Due to the uncertainty of the space environment where the satellite is located and the limitations of the pre-launch test, some abnormalities or failures will inevitably occur during the satellite’s in-orbit operation. Therefore, it is extremely important to detect the abnormal signs of the satellite in time to prevent the The satellite deteriorated further, causing an irreparable accident. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F17/18G06F17/15
CPCG06F17/18G06F17/15G06F18/2321
Inventor 孙宇豪李国通张鸽
Owner INNOVATION ACAD FOR MICROSATELLITES OF CAS
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