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Flight parameter data preprocessing method based on outlier elimination and feature extraction

A technology of feature extraction and flying parameters, applied in the field of signal processing, can solve the problems of heavy mining workload, unclear relationship, and inability to guarantee the quality of mining results.

Active Publication Date: 2020-10-23
AIR FORCE UNIV PLA
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Problems solved by technology

[0004] On the other hand, the flying parameter data contains a large number of parameters, and the relationship between these parameters is not clear. If the required parameters are not selected for the mining task, the mining workload will inevitably be huge, and the mining results cannot be guaranteed. quality

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  • Flight parameter data preprocessing method based on outlier elimination and feature extraction
  • Flight parameter data preprocessing method based on outlier elimination and feature extraction
  • Flight parameter data preprocessing method based on outlier elimination and feature extraction

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Embodiment Construction

[0045] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0046] like figure 1 As shown, a method for preprocessing flying parameter data based on outlier elimination and feature extraction, the method specifically includes the following steps:

[0047] (1) Flight parameter data collection: collect the aircraft parameter data in the flight parameter recording system, and obtain the flight parameter data signal;

[0048] The specific collection and acquisition methods are well known to those skilled in the art and will not be described again.

[0049] (2) Build the Kalman filter model: use the Kalman filter theory to build a filter, introduce the Kalman gain to correct and update the data, start from the two dimensions of time and state, recursi...

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Abstract

The invention provides a flight parameter data preprocessing method based on outlier elimination and feature extraction. The flight parameter data preprocessing method specifically comprises the following steps of acquiring flight parameter data; building a Kalman filter model; pre-grouping the data; building a restricted denoising Boltzmann machine model; training flight parameter data after outliers are removed; and extracting airplane parameter data characteristics. The method is suitable for large-scale flight parameter data processing, a new thought is provided for a signal feature extraction algorithm, and outlier elimination and dimension reduction processing of flight parameter data can be realized while feature extraction is realized.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to an aircraft parameter data preprocessing method based on outlier elimination and feature extraction of a flight big data maintenance outfield autonomous guarantee information support system. Background technique [0002] From the 1990s to the present, aviation equipment technology has developed rapidly, especially in the context of the adjustment of military strategies and changes in the combat use of aviation equipment, combat aircraft have recorded a large amount of flight parameter data in the process of use and maintenance. These data It has extremely high use value for ensuring flight safety and evaluating flight training. In order to use the flight parameter data more effectively, data warehouse and data mining technology have been applied to the management and processing of flight parameter data. However, the current research on data mining of flying...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C5/08G06N3/08
CPCG06N3/08G07C5/0841
Inventor 解武杰董文瀚翟辰飞童颖裔吴超王大飞郝治纲
Owner AIR FORCE UNIV PLA
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