Permanent magnet synchronous motor demagnetization fault diagnosis model construction method and fault diagnosis method and system

A technology of permanent magnet synchronous motor and fault diagnosis model, which is used in motor generator testing, magnetic performance measurement, computer parts and other directions, can solve problems such as difficult to meet accurate fault diagnosis, and achieve effective fault high-dimensional characteristics and high diagnosis. Effects, effects of avoiding signal processing

Pending Publication Date: 2022-04-15
HUNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The method of the present invention selects and extracts the magnetic flux leakage signal of the faulty motor under different working conditions as the original signal, and converts the one-dimensional time-domain signal into a two-dimensional image, enriches the fault signal features, and effectively solves the one-dimensional detail features and single features Extraction of problems that are difficult for accurate troubleshooting

Method used

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  • Permanent magnet synchronous motor demagnetization fault diagnosis model construction method and fault diagnosis method and system
  • Permanent magnet synchronous motor demagnetization fault diagnosis model construction method and fault diagnosis method and system
  • Permanent magnet synchronous motor demagnetization fault diagnosis model construction method and fault diagnosis method and system

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Embodiment 1

[0080] Such as figure 2 As shown, this embodiment provides a permanent magnet synchronous motor demagnetization fault diagnosis method suitable for multiple working conditions and variable working conditions, including signal acquisition and two-dimensional image expansion, local high-level feature fusion extraction and fuzzy multi-model classifier diagnosis three parts. Among them, the present embodiment chooses to build a fuzzy multi-model classifier. It should be understood that building a fuzzy multi-model classifier is the best example of the present invention, but the present invention is not limited thereto. On the basis of not departing from the concept of the present invention, select Other classification network models are also feasible.

[0081] In this embodiment, a method for diagnosing a demagnetization fault of a permanent magnet synchronous motor specifically includes the following steps:

[0082] 1) Collect the magnetic flux leakage signal on the surface of...

Embodiment 2

[0143] This embodiment provides a system based on the above fault diagnosis model construction method or fault diagnosis method, which includes:

[0144] The signal acquisition module is used to collect / acquire the magnetic flux leakage signals of the faulty motor under various faults and different / variable working conditions, and the magnetic flux leakage signals are time-domain signals. Wherein, the signal acquisition module can be realized by a software module, that is, for acquiring the magnetic flux leakage signal collected by hardware, or by hardware, such as a magnetic flux sensor.

[0145] The image conversion module is used to expand the magnetic flux leakage signal into a symmetrical lattice image, and the implementation process can refer to the content of the method.

[0146] A feature extraction module, configured to extract local high-level features from the symmetrical lattice image using different feature point inspection methods;

[0147] The feature fusion mo...

Embodiment 3

[0152] This embodiment provides an electronic terminal, including a processor and a memory connected to each other, and the processor is programmed or configured to execute the method for constructing a demagnetization fault diagnosis model of a permanent magnet synchronous motor or the demagnetization of a permanent magnet synchronous motor Steps in the troubleshooting method.

[0153] Wherein, when executing the described permanent magnet synchronous motor demagnetization fault diagnosis model construction method, specifically execute:

[0154] Step 1: collect the magnetic flux leakage signal of the faulty motor under various faults and different working conditions / variable working conditions, and the magnetic flux leakage signal is a time domain signal;

[0155] Step 2: expanding the magnetic flux leakage signal into a symmetrical lattice image;

[0156] Step 3: using different feature point inspection methods to perform local high-level feature extraction and feature fusi...

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Abstract

The invention discloses a permanent magnet synchronous motor demagnetization fault diagnosis model construction method and a fault diagnosis method and system, and is suitable for multiple working conditions and variable working conditions. According to the method, a motor surface magnetic flux leakage signal is used as an original signal of fault diagnosis and is expanded into a symmetric dot matrix image; according to the method, a symmetric dot matrix image is obtained, multiple types of local high-level features of the symmetric dot matrix image are extracted and fused, finally, the fused features are used for constructing a classifier, particularly, a fuzzy multi-model classifier is preferably constructed for fault diagnosis, the accuracy of a fault diagnosis result can be effectively improved, and the symmetric dot matrix image has relatively high invariant adaptability to working conditions, so that the accuracy of the fault diagnosis result is improved. And the effectiveness of the features is improved through fusion of multiple types of local high-level features of the image, the accuracy of the model is further ensured, the demagnetization fault is recognized with high precision, and the problem of permanent magnet synchronous motor demagnetization fault diagnosis under multiple working conditions and variable working conditions is effectively solved.

Description

technical field [0001] The present invention relates to permanent magnet synchronous motor fault diagnosis, in particular to a permanent magnet synchronous motor demagnetization fault diagnosis model construction method and a fault diagnosis method and system, especially suitable for permanent magnet synchronous motor demagnetization fault diagnosis with multiple working conditions and variable working conditions . Background technique [0002] The permanent magnet synchronous motor uses permanent magnets to generate the motor magnetic field. It has a simple structure, high efficiency and high control precision, and is widely used in the fields of numerical control machine tools, electric vehicles, aerospace and wind power generation. Most of the magnetic steel sheets of permanent magnet synchronous motors are made of NdFeB permanent magnet materials, and their Curie temperature is low. Therefore, the overload of the motor and the damage of the heat dissipation system will ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G01R31/34G01R33/12
Inventor 谢金平张晓飞黄凤琴宋殿义唐瑶龙卓唐镜博
Owner HUNAN UNIV
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