Anomaly detection method and device for aircraft telemetry data

A technology for telemetry data and anomaly detection, applied in the field of data processing, can solve problems such as low detection accuracy and complex detection steps, and achieve the effects of simplifying detection steps, improving detection accuracy, and solving complex detection steps.

Active Publication Date: 2020-09-18
TSINGHUA UNIV
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the object of the present invention is to provide a method and device for abnormal detection of aircraft telemetry data, so as to alleviate the complex detection steps and low detection accuracy of telemetry data in the prior art. question

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Anomaly detection method and device for aircraft telemetry data
  • Anomaly detection method and device for aircraft telemetry data
  • Anomaly detection method and device for aircraft telemetry data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] According to an embodiment of the present invention, an embodiment of an abnormality detection method for aircraft telemetry data is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions , and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0041] figure 1 is a flow chart of an abnormality detection method for aircraft telemetry data according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0042] Step S102, acquiring the pilot telemetry data sent by the aircraft, and determining whether the pilot telemetry data is a stationary time series through stationarity detection;

[0043] It should be noted that the above-mentioned leading telemetry data is the...

Embodiment 2

[0088] The present invention also provides an embodiment of an abnormality detection device for aircraft telemetry data, which is used to implement the method for detecting abnormality of telemetry data provided by the above-mentioned content of the embodiment of the present invention. The following is the description of the telemetry data provided by the embodiment of the present invention A detailed description of the anomaly detection device.

[0089] Such as Figure 5 As shown, the above-mentioned anomaly detection device for telemetric data includes: a first acquisition unit 10 , a second acquisition unit 20 , a first detection unit 30 and a second detection unit 40 .

[0090] The first acquisition unit 10 is used to acquire the pilot telemetry data sent by the aircraft, and determine whether the pilot telemetry data is a stationary time series through stationarity detection;

[0091] The second obtaining unit 20 is used to obtain the telemetry data of the node at the cu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention provides a method and device for abnormality detection of aircraft telemetry data, relating to the technical field of data processing, including: obtaining pilot telemetry data sent by the aircraft, and determining whether the pilot telemetry data is a stationary time series through stationarity detection; After the stationarity detection, obtain the telemetry data of the node at the current moment sent by the aircraft; if the pilot telemetry data is a stationary time series, use the boundary detection algorithm to detect the telemetry data of the node at the current moment to determine whether the telemetry data of the node at the current moment is abnormal data; if the pilot telemetry data is not a stationary time series, then use the preset detection algorithm to detect the telemetry data of the node at the current moment to determine whether the telemetry data of the node at the current moment is abnormal data, which solves the problem of telemetry data in the prior art The detection steps of abnormal data detection are complicated and the detection accuracy is low.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an abnormal detection method and device for aircraft telemetry data. Background technique [0002] For satellite telemetry, the rapid transient changes in the space environment and the noise of equipment lines will bring noise interference to signal acquisition, so that the telemetry data will be doped with randomly distributed abnormal data. The development has brought great difficulties. [0003] In the prior art, algorithms such as boundary detection algorithm, trend prediction algorithm, rate constraint algorithm, and density (distance) detection algorithm are generally used to detect anomalies in telemetry data, but the detection steps of the above methods are complicated and the detection accuracy is low. [0004] For the above problems, no effective solution has been proposed yet. Contents of the invention [0005] In view of this, the object of the present inv...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06F16/215G06F16/28
CPCG06F16/215G06F16/2474G06F16/285
Inventor 詹亚锋万鹏曾冠铭陈曦
Owner TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap