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Three-phase motor fault detection method and device

A technology for fault detection and three-phase motors, which is applied in the direction of motor generator testing, computer components, instruments, etc., can solve the problems of low efficiency, time-consuming and laborious, etc., and achieve the goal of improving accuracy, improving efficiency, and good anti-noise interference ability Effect

Active Publication Date: 2017-06-20
SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a fault detection method and device for a three-phase motor to solve the problems of time-consuming, laborious and low efficiency in detecting new fault types of three-phase motors in the prior art

Method used

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  • Three-phase motor fault detection method and device

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Embodiment 1

[0049] figure 1 It is a flow chart of a three-phase motor fault detection method provided by Embodiment 1 of the present invention. This embodiment is applicable to three-phase motor fault detection through a field-programmable gate array (Field-Programmable Gate Array, FPGA for short). In this case, the method can be implemented by a fault detection device for a three-phase motor, which can be implemented in software and / or hardware, and is generally integrated in an FPGA.

[0050] The method of Embodiment 1 of the present invention specifically includes:

[0051] S101. Collect input signals of the three-phase motor.

[0052]Specifically, a three-phase power supply is provided for a three-phase motor, and three current probes are individually clamped to the cables of each phase of the three-phase motor to collect current signals of three channels of the three-phase motor. The continuous current signals of the three channels of the phase motor are transmitted to the computer...

Embodiment 2

[0061] figure 2 It is a flow chart of a three-phase motor fault detection method provided by Embodiment 2 of the present invention. Embodiment 2 of the present invention is optimized on the basis of Embodiment 1. Specifically, the input signal is extracted according to the preset feature category The operation of the eigenvalues ​​is further optimized, such as figure 2 As shown, the second embodiment of the present invention specifically includes:

[0062] S201. Collect input signals of the three-phase motor.

[0063] S2021. Establish a feature set of the fault label.

[0064] In this embodiment, taking five three-phase motors as an example, the motor state types of the five three-phase motors are normal state, voltage imbalance state, broken rotor rod state, stator winding fault state and off-center state. A corresponding fault type label is set for each fault state of the three-phase motor, and the feature set of the fault label is established. Among them, when the thr...

Embodiment 3

[0071] image 3 It is a flow chart of a fault detection method for a three-phase motor provided by Embodiment 3 of the present invention. Embodiment 3 of the present invention is optimized and improved based on the above-mentioned embodiments. For inputting the eigenvalues ​​into the training model, the The training model includes the hidden nodes of the network and the corresponding influence values ​​are further explained, such as image 3 As shown, the method of the third embodiment of the present invention specifically includes:

[0072] S301. Collect input signals of the three-phase motor.

[0073] S302. Extract feature values ​​of the input signal according to preset feature categories.

[0074] S3031. Input samples and corresponding sample labels into the hybrid model, perform supervised training on the hybrid model according to the sample labels, and obtain the maximum value of network hidden nodes.

[0075] In this embodiment, samples and corresponding sample label...

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Abstract

The embodiment of the invention discloses a three-phase motor fault detection method and device. The method comprises the steps that the input signal of a three-phase motor is acquired; the feature value of the input signal is extracted according to the preset feature category; the feature value is inputted to a training model, wherein the training model includes a network hidden node and a corresponding influence value; and the fault detection result is acquired according to the output result of the training model. The samples of all fault types do not need to be retrained for the new found fault type so that the efficiency of three-phase motor fault detection can be enhanced, the training model has great anti-interference capability and the accuracy of three-phase motor fault detection can be enhanced.

Description

technical field [0001] Embodiments of the present invention relate to fault detection technology, and in particular to a fault detection method and device for a three-phase motor. Background technique [0002] The three-phase motor means that when the three-phase stator winding of the motor is connected to the three-phase alternating current, the current-carrying rotor conductor will generate electromagnetic force under the action of the rotating magnetic field of the stator, thereby forming an electromagnetic torque on the motor shaft, driving the motor to rotate, and The motor rotates in the same direction as the rotating magnetic field. Since three-phase motors are widely used in industrial fields such as drones, lathes, light industrial equipment, and various processing production lines, the stable operation of three-phase motors is very important. In practical applications, in order to improve the working efficiency of three-phase motors, variable speed drives are usua...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/34G06K9/62
CPCG01R31/34G06F18/24G06F18/214
Inventor 郝祁法哈德·普那哈张彬
Owner SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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