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Radar fault diagnosis method based on timing reconstruction

A fault diagnosis and radar technology, applied in the field of radar systems, can solve problems such as failure diagnosis and prediction of natural meteorological radar systems, lack of electronic parameters, etc.

Active Publication Date: 2020-02-07
TSINGHUA UNIV +1
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Problems solved by technology

[0002] The natural weather radar system currently in use is a relatively complex electronic system, and there is no physical connection between the various electronic parameters, so there is no physical connection between the electronic parameters reflected by the fault, making it impossible to use traditional expert experience to analyze the natural weather radar system. Fault Diagnosis and Prediction

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  • Radar fault diagnosis method based on timing reconstruction
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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] refer to figure 1 , shown as a flow chart of the steps of a radar fault diagnosis method based on timing reconstruction implemented by the present invention, which includes the following steps:

[0031] S10, using the historical state data and alarm data of the radar transmitter subsystem, using the alarm data as a label, and using the stepwise regression method to extract n characteristic parameters related to the failure of the transmitte...

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Abstract

The invention discloses a radar fault diagnosis method based on timing reconstruction. The method comprises the following steps of using historical state data and alarm data of a transmitter subsystemof a weather radar system, taking the alarm data as labels, extracting a total of n characteristic parameters related to the fault of the transmitter subsystem with a stepwise regression method, anddetermining that the health state of a transmitter changes if the characteristic parameters change significantly; taking the characteristic parameter y with the maximum correlation coefficient in thecharacteristic parameters as the reconstruction parameter target of a reconstruction model, using an LSTM model of the short-time memory network to build the reconstruction model, using a total of n-1characteristic parameters except y to perform fitting reconstruction on y to obtain a reconstructed value, and performing probability-based quantization standard on the difference between the reconstructed value and the measured value y; and performing time interval statistics on the quantization results, filtering out false alarms, and obtaining a final diagnosis result.

Description

technical field [0001] The invention belongs to the technical field of radar systems, and in particular relates to a radar fault diagnosis method based on timing sequence reconstruction. Background technique [0002] The natural weather radar system currently in use is a relatively complex electronic system, and there is no physical connection between the various electronic parameters, so there is no physical connection between the electronic parameters reflected by the fault, making it impossible to use traditional expert experience to analyze the natural weather radar system. Fault diagnosis and prediction. Contents of the invention [0003] In view of the technical problems above, the present invention provides a radar fault diagnosis method based on time series reconstruction. [0004] In order to solve the problems of the technologies described above, the present invention adopts the following technical solutions: [0005] A radar fault diagnosis method based on tim...

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Application Information

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IPC IPC(8): G01S7/40
CPCG01S7/4008
Inventor 刘井泉解光耀曾聿赟张昊宇刘正藩秦楚晴杨辉
Owner TSINGHUA UNIV