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Fault diagnosis method of rotary motor

A technology for rotating electrical machines and fault diagnosis, which is used in motor generator testing, electrical measurement, and electrical variable measurement.

Inactive Publication Date: 2017-06-13
ZHEJIANG UNIV
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Problems solved by technology

[0005] The present invention solves the problem that this type of high-precision harmonic parameter estimation method has a large amount of calculation, cannot be used for transient fault feature tracking, and cannot accurately estimate the fault feature amplitude in quasi-steady-state occasions where load and rotational speed fluctuate. three questions

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Embodiment Construction

[0018] It should be understood that the preferred embodiments are only for illustrating the present invention, but not for limiting the protection scope of the present invention.

[0019] Take the common rotor faults of asynchronous motors, such as eccentric faults and broken bar faults, as examples. It is known that the eccentric fault has a characteristic frequency in the phase current of [1±k(1-s) / p]f s Harmonics, broken bar faults exist in the phase current with a characteristic frequency of (1±2ks)f s The characteristic harmonics of , where k is a positive integer, f s is the supply frequency, f r is the mechanical frequency of the rotor rotation, s is the slip, and p is the number of pole pairs.

[0020] In this embodiment, the inverter outputs a voltage of 35 Hz to open-loop drive a 15-kW, 6-pole asynchronous motor in a VVVF manner. The specific implementation is as figure 1 shown. The current data of any phase of the motor is collected, the collection length is 2...

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Abstract

The invention discloses a fault diagnosis method of a rotary motor. The method comprises a time-frequency analysis method and a fault extracting method. The time-frequency analysis method comprises the steps that a single-phase phase-locked loop estimates power supply frequency changes, a short time window slides on single-phase current data, and power supply frequency in the center of the time window is used for determining the optimal refining frequency band range of window data; the window data is refined in a self-adaption mode, and new data is obtained; a self-adaption high-precision harmonic wave estimation algorithm is used for estimating signal parameters included in the new data. The steps are repeated in the same way till sliding of the time window is finished, and a time frequency graph is generated. The fault extracting method comprises the steps that the signal parameter estimating results are adopted as a sample set, and edge frequency and amplitude of fault features are extracted. According to the whole method, the defects that a high-precision harmonic wave estimating method is large in calculation amount, and fault features are tracked under the instantaneous conditions are overcome. In addition, even though a motor has load and rotating speed fluctuation during traction, the fault features and the amplitude can still be accurately diagnosed through the method.

Description

technical field [0001] The invention relates to the field of motor fault diagnosis and state detection, and provides a fault diagnosis method for a rotating electrical machine, including a time-frequency analysis method for fault diagnosis of a rotating electrical machine; , Transmission system component failure, etc. Background technique [0002] Regarding the fault diagnosis of the motor and the motor system, regardless of the inverter part, the rotor fault of the motor body and the fault of the drive shaft part of the motor system are particularly common. Taking the rotor fault of the motor body as an example, if it is an asynchronous motor, the common faults mainly include: broken bar fault, air gap eccentric fault, bearing fault; if it is a permanent magnet synchronous motor, the common faults mainly include: demagnetization fault, air gap eccentric fault Failure, bearing failure. Fault diagnosis methods based on motor current signal analysis are in the mainstream in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/34
CPCG01R31/343
Inventor 黄进刘子剑
Owner ZHEJIANG UNIV