Fault diagnosis method for hydraulic pump of electro-hydrostatic actuator

A technology of fault diagnosis and hydraulic pumps, which is applied in the direction of instruments, pump tests, machines/engines, etc., and can solve problems such as inability to guarantee global convergence

Pending Publication Date: 2020-02-25
XI AN JIAOTONG UNIV
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Due to the simple concept and easy implementation of the particle swarm optimization algorithm, it has attracted extensive attention in the ...

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  • Fault diagnosis method for hydraulic pump of electro-hydrostatic actuator
  • Fault diagnosis method for hydraulic pump of electro-hydrostatic actuator
  • Fault diagnosis method for hydraulic pump of electro-hydrostatic actuator

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Embodiment Construction

[0086] The invention will be described in further detail below in conjunction with the accompanying drawings.

[0087] In order to improve the accuracy of the fault diagnosis of the hydraulic pump of the electrostatic hydraulic actuator, the present invention provides a fault diagnosis method of the hydraulic pump of the electrostatic hydraulic actuator. Firstly, the vibration acceleration sensor or the pressure sensor is used to collect the hydraulic pressure The vibration signal on the pump casing or the pressure signal at the outlet of the hydraulic pump is used to construct the feature vector based on the wavelet packet decomposition technology, and encode the fault type of the hydraulic pump of the electrohydrostatic actuator as the output sample of the training. Then, on the vibration signal data set or pressure signal data set of the electrohydrostatic actuator hydraulic pump, the quantum particle swarm optimization algorithm is used to optimize the model hyperparameters...

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Abstract

The invention discloses a fault diagnosis method for a hydraulic pump of an electro-hydrostatic actuator. The method comprises the following steps: firstly, acquiring a vibration signal on a hydraulicpump shell of the electro-hydrostatic actuator or a pressure signal at an outlet of a hydraulic pump by utilizing a vibration acceleration sensor or a pressure sensor, constructing a feature vector based on a wavelet packet decomposition technology, and encoding a fault type of the hydraulic pump of the electro-hydrostatic actuator to serve as a training output sample; acquiring a vibration signal data set or a pressure signal data set of a hydraulic pump of the electro-hydrostatic actuator; optimizing model hyper-parameters C and delta of the support vector machine automatically by using aquantum particle swarm algorithm; obtaining the values of the optimal hyper-parameters C and delta, substituting the values into a support vector machine model, and training the support vector machinemodel of the optimal hyper-parameters by utilizing the feature vectors extracted from the training data set of the electro-hydrostatic actuator hydraulic pump and the fault codes corresponding to thefeature vectors; and finally, carrying out electro-hydrostatic actuator hydraulic pump fault diagnosis on the electro-hydrostatic actuator hydraulic pump test data set.

Description

technical field [0001] The invention relates to a method for monitoring and diagnosing an early fault state of a hydraulic pump of an electrostatic fluid actuator, in particular to a method for diagnosing a fault of a hydraulic pump of an electrostatic hydraulic actuator. Background technique [0002] Electro-Hydrostatic Actuator (EHA) is a new type of airborne hydraulic actuator widely used in the aerospace field. The hydraulic pump is the core driving device of the hydraulic system of the electrostatic hydraulic actuator, and the working environment is extremely harsh. During the service period, the hydraulic pump of the electrostatic hydraulic actuator will be affected by wear, erosion, shock, vibration and fatigue, etc., and will gradually fail and cause failure. The failure of the hydraulic pump will directly affect the normal operation of aerospace vehicles and civil aircraft, resulting in Serious loss of life and property, even catastrophic consequences. Therefore, ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/00G06N10/00F04B51/00
CPCG06N3/006G06N10/00F04B51/00G06F18/2411G06F18/214
Inventor 丁建军贺梓洲仙丹刘阳鹏陈鹏李涛
Owner XI AN JIAOTONG UNIV
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