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A Fault Diagnosis Method for Aircraft Actuators Based on AdaBoost-ASVM Algorithm

A fault diagnosis and actuator technology, applied in aircraft component testing, computer components, instruments, etc., can solve problems such as limited coverage and failure to fully utilize fault information.

Inactive Publication Date: 2021-02-26
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the former only targets three kinds of faults, and the coverage is not wide; the latter only extracts one feature, and the fault information cannot be fully utilized.

Method used

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  • A Fault Diagnosis Method for Aircraft Actuators Based on AdaBoost-ASVM Algorithm
  • A Fault Diagnosis Method for Aircraft Actuators Based on AdaBoost-ASVM Algorithm
  • A Fault Diagnosis Method for Aircraft Actuators Based on AdaBoost-ASVM Algorithm

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Experimental program
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Embodiment

[0146] Firstly, the aircraft simulation model is established. In order to better simulate the real flight environment, atmospheric turbulence interference, sensor time delay, actuator speed limit and amplitude limit are added. The sensor output signals when the aircraft actuator is stuck, damaged, loose, reversed and normal are collected multiple times in a level flight state at a certain altitude. figure 2 It shows the deflection angle of the aircraft rudder when it is stuck, damaged, loose, reversed and normal. For each fault state and normal state, 100 groups of samples are generated, 70 groups are randomly selected for training in each state, and 30 groups are used for testing.

[0147] Use the integrated empirical mode to decompose signals of various states. After each original sequence is decomposed, 8 intrinsic mode functions and 1 residual sequence are obtained. The number of decomposition is not fixed, and it is related to the length of the signal and the degree of n...

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Abstract

The invention discloses a fault diagnosis method for aircraft actuators based on the AdaBoost-ASVM algorithm. The common faults of aircraft actuators are stuck, loose, damaged, and reversed. The signal in the normal state is integrated empirical mode decomposition to obtain a series of stationary intrinsic mode functions (IMF) and residuals; then a large number of time-domain characteristic parameters are calculated for each intrinsic mode function and residual; using principal component analysis The principal component analysis method is used to analyze the characteristic parameters, and the features with high contribution rate are extracted to construct the training set and test set; finally, the AdaBoost-ASVM classifier is established on the training set to identify whether the actuator is faulty and the type of fault. The method has fast calculation speed and high identification accuracy, so it can be effectively applied to aircraft actuator fault diagnosis.

Description

technical field [0001] The invention relates to an aircraft actuator fault diagnosis method, in particular to an aircraft actuator fault diagnosis method based on the AdaBoost-ASVM algorithm. Background technique [0002] Aircraft is one of the most frequently used aircraft in the world, and people have higher and higher requirements for its safety and reliability. With the increase in the complexity of airborne equipment and the close connection between various systems, the probability of aircraft failure also increases. The aircraft actuator is the aircraft control surface system, which is the most important device to control the movement of the aircraft. During the flight, the actuator will frequently perform control tasks. If things go on like this, the intermittent rotation will easily cause the actuator to fail. Signals with faults entering the flight control system will directly affect the maneuverability of the aircraft, which is very likely to cause a major acciden...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/00B64F5/60G06K9/62
CPCG01M13/00B64F5/60G06F18/2411G06F18/214
Inventor 魏若楠江驹陈逸飞孙笑云
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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