Cage type asynchronous motor stator and rotor fault joint diagnosis method based on stack type self-encoding and light gradient elevator algorithm

A stack-type self-encoding, asynchronous motor technology, applied in the field of detection, can solve problems such as performance to be improved, and achieve the effect of reducing the amount of calculation

Inactive Publication Date: 2021-04-30
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

However, these methods are essentially traditional diagnostic methods that rely on a single fault feature, and their performance still needs to be improved.

Method used

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  • Cage type asynchronous motor stator and rotor fault joint diagnosis method based on stack type self-encoding and light gradient elevator algorithm
  • Cage type asynchronous motor stator and rotor fault joint diagnosis method based on stack type self-encoding and light gradient elevator algorithm
  • Cage type asynchronous motor stator and rotor fault joint diagnosis method based on stack type self-encoding and light gradient elevator algorithm

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Embodiment Construction

[0030] The present invention proposes a joint and simultaneous diagnosis method of cage-type asynchronous motor stator winding inter-turn short circuit and rotor broken bar fault and its severity based on stacked self-encoder and light gradient hoist algorithm. The diagnostic accuracy of the method is Up to 99.83%. Obviously, the basis of the present invention lies in the acquisition of a large amount of sample data, the construction of a stacked autoencoder and a light gradient booster, which will be described in detail below.

[0031] figure 1 For the experimental wiring diagram, according to the system, a large number of experiments are carried out on the motor, so as to obtain sufficient samples. Among them, the data acquisition system collects the instantaneous three-phase current signal of the stator through the current converter and the voltage converter sA i sB i sC , stator three-phase voltage instantaneous signal u sA , u sB , u sC . This experimental work is...

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Abstract

The invention discloses a cage type asynchronous motor stator and rotor fault joint diagnosis method based on stack type self-encoding and a light gradient elevator algorithm. The method comprises the following steps: firstly carrying out the fast Fourier decomposition of a stator current instantaneous signal collected according to a certain frequency, and extracting the fault-related 20-dimensional feature quantity of each sample; then encoding the data through a stack type auto-encoder to realize automatic feature extraction; and inputting the coded data into a light gradient elevator classifier to carry out motor state multi-classification so as to diagnose fault types and severity. Manual feature extraction and manual intervention are not needed in the signal processing process, and meanwhile part of noise can be restrained through noise reduction self-coding. The classifier selects an optimization algorithm light gradient elevator algorithm based on a decision tree, the performance of structured data is superior to that of a deep neural network, the training time of the unit cycle index is the shortest on the premise that the highest precision is guaranteed, and the whole process code can be packaged and stored for subsequent training and practical application.

Description

technical field [0001] The invention relates to a method based on a stacked self-encoder and a light gradient hoisting machine algorithm, which can jointly and simultaneously diagnose the stator and rotor faults of a cage-type asynchronous motor, and belongs to the technical field of detection. Here, the stator fault refers to the inter-turn short circuit fault of the stator winding, and the rotor fault refers to the rotor broken bar fault. Background technique [0002] Cage asynchronous motors are widely used in the field of electrical transmission. Since the insulation of the stator winding may be scratched or scratched during the manufacturing and installation process, and the working environment and mechanical, electromagnetic and other reasons cause vibration and friction to damage the insulation, the stator winding turns of the cage-type asynchronous motor may occur during operation. short circuit fault. In addition, because the rotor bar is subjected to alternating ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/34G06N3/04G06N3/08G06N5/00G06F17/11G06F17/15
CPCG01R31/343G01R31/346G06N3/084G06F17/11G06F17/15G06N5/01G06N3/045
Inventor 许伯强何俊驰孙丽玲
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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