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A method for calculating dynamic threshold of helicopter dynamic components based on Bayesian inference

A technology of dynamic threshold and components, which is applied in the direction of reasoning method, calculation, electrical digital data processing, etc., can solve the problem of low accuracy of dynamic threshold and achieve the effect of improving calculation accuracy

Active Publication Date: 2019-03-08
NANCHANG HANGKONG UNIVERSITY
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for calculating the dynamic threshold of helicopter moving parts based on Bayesian reasoning, aiming to solve the problem that the accuracy of the dynamic threshold calculated by the prior art is not high for different types of fault data

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  • A method for calculating dynamic threshold of helicopter dynamic components based on Bayesian inference
  • A method for calculating dynamic threshold of helicopter dynamic components based on Bayesian inference
  • A method for calculating dynamic threshold of helicopter dynamic components based on Bayesian inference

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Embodiment Construction

[0033] The present invention adopts such as figure 1 The shown work flow chart of the method for calculating dynamic thresholds of helicopter moving parts based on Bayesian reasoning realizes the calculation of dynamic thresholds. The specific implementation steps are as follows:

[0034] 1) Data preprocessing

[0035] (1.1) Collect normal data, inner ring fault data, outer ring fault data, and ball fault data.

[0036] In the embodiment of the present invention, the experimental data is normal and faulty data collected by means of fault implantation.

[0037] (1.2) Using the data preprocessing method to preprocess all the data collected in step (1.1), filter out the noise in the data, and obtain the denoised data.

[0038] The data preprocessing method is a singular value decomposition method, a wavelet denoising method, a wavelet packet denoising method, a sliding smoothing method, a basic morphological filtering method or a difference morphological filtering method.

[0...

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Abstract

The invention discloses a method for calculating the dynamic threshold value of a helicopter dynamic component based on Bayesian inference. The method comprises the following steps of 1) carrying outthe data preprocessing to filter noise in the data; 2) carrying out the feature extraction of respectively extracting features of normal data and fault data; 3) calculating the dynamic threshold, andusing Bayesian reasoning method to calculate the dynamic threshold of normal data and fault data. The invention has the advantages that in the feature extraction method, four methods of extracting inner loop feature frequency energy, extracting outer loop feature frequency energy, extracting ball feature frequency energy and extracting M6A are respectively adopted to carry out feature extraction on normal data and different types of fault data, so that the vibration characteristics of normal and fault data can be effectively reflected. In the calculation of dynamic threshold, the Bayesian reasoning method is used to consider not only the probability density of normal data, but also the probability density of different types of fault data, which improves the calculation accuracy of dynamicthreshold.

Description

technical field [0001] The invention relates to the field of helicopter health monitoring and fault diagnosis, in particular to a method for calculating dynamic thresholds of helicopter moving parts based on Bayesian reasoning. Background technique [0002] Compared with fixed-wing aircraft, helicopters can take off and land vertically, have better maneuverability, quick response capabilities and are not limited by terrain and landforms, and can be widely used in civil and military fields. [0003] With the more and more extensive application of helicopters, its safety has been paid more and more attention by people. Helicopter health and usage monitoring system (HUMS) is an important technology and system to ensure the safe operation of helicopters in today's world. In order to reduce accidents, real-time monitoring of the working status of key parts of helicopters, especially moving parts, is an important part of HUMS. In HUMS, fault implantation tests are often used in ...

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Application Information

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IPC IPC(8): G06F17/50G06N5/04
CPCG06N5/04G06F30/00Y02T90/00
Inventor 熊邦书丛雷李新民雷鸰
Owner NANCHANG HANGKONG UNIVERSITY
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