Motor Fault Detection Method

A technology for fault detection and electric motors, which is applied in the direction of motor generator testing, etc., can solve the problems that the reliability of diagnosis cannot be guaranteed, is easily affected by external changes, and has high misreporting and missing reporting, so as to improve the performance of fault diagnosis and improve diagnosis Reliability, effectiveness in overcoming false positives and false negatives

Active Publication Date: 2017-10-03
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, the general motor current signal analysis method only analyzes specific one or two fault frequencies to determine whether the motor has a certain fault, and the detection is single, which has great limitations.
Moreover, when the system is disturbed, its detection system is easily affected by external changes because it only collects a single frequency. When the disturbance is too large, the interference signal will cover the fault signal, resulting in a high possibility of misreporting and missing reporting. Diagnostic reliability cannot be guaranteed, detection performance is poor

Method used

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  • Motor Fault Detection Method

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Embodiment Construction

[0023] The technical solution of the present invention will be described in detail below with reference to the drawings and specific implementations.

[0024] The motor fault detection method of the present invention can perform multi-level analysis of multiple fault frequency spectrum signals, which greatly improves the fault diagnosis performance when the disturbance is too large, and is realized by multiple analysis of multiple fault characteristics of the motor current. Fault diagnosis and online status monitoring, multiple analysis of the collected fault frequency, greatly improving the reliability of diagnosis, almost avoiding false reports and omissions.

[0025] The main process of the invention is as figure 1 Shown, including:

[0026] Step S1, set the fault frequency f to be detected 1 f 2 …F k , K≥3.

[0027] In this step, set the fault frequency to be detected according to actual needs, such as broken bar fault, broken ring fault, eccentric fault, bearing fault, winding ...

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Abstract

The invention relates to a fault detection method of a motor. Aiming at the shortcomings of the prior art in detecting motor faults by detecting the motor current, the present invention discloses a motor fault detection method. The technical scheme of the present invention greatly improves the It improves the fault diagnosis performance when the disturbance is too large, and realizes fault diagnosis and online status monitoring through multiple analysis of multiple fault characteristics of the motor current. Multiple analysis of the collected fault frequency greatly improves the diagnostic reliability and almost avoids misstatement and omission. The invention is very suitable for on-line detection of motor faults of electric vehicles.

Description

Technical field [0001] The invention relates to a motor fault detection method, in particular to a fault detection method based on multi-level signal analysis and multi-step calculation. Background technique [0002] Electric vehicles have begun to be used in key businesses in modern industry, but their reliability cannot be well guaranteed. It is necessary to perform fault diagnosis on electric vehicle motors to ensure their safety performance. Since the 1960s, automobile fault diagnosis technology has attracted the attention of advanced automobile manufacturers in the world, and developed countries such as the United States, Japan, Germany, and France have successively begun research on automobile fault diagnosis technology. At present, a detection and diagnosis method based on the Motor Current Signal Analysis Method (MCSA) has received the attention of experts and scholars from various countries. [0003] The motor current signal analysis method improves the traditional motor ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/34
Inventor 陈勇李雪恺
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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