Intelligent fault diagnosis method for magnetic suspension rotor system

A magnetic levitation rotor and intelligent diagnosis technology, applied in the field of bearing protection, can solve the problems of redundant trajectory data and affect the classification effect of machine learning, and achieve the effect of improving efficiency and accurate identification.

Pending Publication Date: 2021-02-05
WUHAN UNIV OF TECH +1
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Problems solved by technology

[0005] However, the trajectory data collected during the experiment will have a l

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  • Intelligent fault diagnosis method for magnetic suspension rotor system
  • Intelligent fault diagnosis method for magnetic suspension rotor system
  • Intelligent fault diagnosis method for magnetic suspension rotor system

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Embodiment Construction

[0045] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0046] refer to Figure 1 to Figure 6As shown, the fault intelligent diagnosis method of the magnetic levitation rotor system in an embodiment provided by the present invention includes the following steps:

[0047] 1) The magnetic suspension rotor displacement sensor captures 20 sets of displacement signals of the magnetic suspension bearing rotor system under different fault conditions;

[0048] 2) Use the data acquisition card to sample and save the displacement signal, and transfer it to the database;

[0049] 3) Perform denoising processing such as wavelet transform on the displacement signal through MATLAB to obtain the trajectory of the rotor;

[0050] 4) Use the Canny operator algorithm Gaussian filter to remove the noise of the axis track map, extract the edge of the axis track map, and perform binarization, filling and other processing;

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Abstract

The invention discloses an intelligent fault diagnosis method for a magnetic suspension rotor system. The intelligent fault diagnosis method comprises the following steps: acquiring an axis trajectorydiagram of the magnetic suspension rotor system under different fault conditions; carrying out purification and denoising processing on each axis trajectory diagram; converting each axis trajectory diagram into seven corresponding invariant moments through a Hu invariant moment theory, wherein the seven invariant moments form a feature vector; screening and simplifying the feature vectors of theaxis track graphs through an empire competition algorithm, and removing unqualified axis track graphs; carrying out classification training on the directed acyclic graph support vector machine model by using the simplified feature vectors of the axis trajectory graph under multiple different fault conditions; and monitoring the track of the magnetic suspension rotor system in real time, extractingan axis track diagram of the magnetic suspension rotor system in a fault, inputting the extracted axis track diagram into the trained support vector machine model for classification and identification, and judging a corresponding fault type according to a classification and identification result. The identification of the axis track of the magnetic suspension rotor system in the fault is more accurate.

Description

technical field [0001] The invention relates to the field of bearing protection, in particular to an intelligent fault diagnosis method for a magnetic levitation rotor system. Background technique [0002] Compared with the traditional bearing-rotor system, the active magnetic bearing-rotor system (Active Magnetic Bearing, AMB) has many advantages such as no friction and low energy consumption. The AMB system is highly nonlinear, and the chaotic phenomenon of the rotor at the critical speed is a frontier issue. Therefore, how to provide a stable control algorithm and accurate chaos analysis method for the maglev-rotor system has become one of the hot research issues of the system. one. [0003] For the control of the nonlinear bearing-rotor system, it can be realized by the traditional proportional-derivative control algorithm and sliding mode control algorithm, but the unstable factors such as bifurcation caused by the time delay will adversely affect the stability of the ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/13G06T7/136G06T5/00G06K9/00G06K9/62G06N3/00G06N3/04G06N3/08G01M13/00G01M13/04
CPCG06T7/0004G06T7/13G06T7/136G06T5/002G06N3/006G06N3/084G01M13/00G01M13/04G06T2207/30164G06N3/045G06F2218/06G06F2218/08G06F2218/12G06F18/2411
Inventor 方玺张东波刘趁伟郭熠
Owner WUHAN UNIV OF TECH
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