Method for detecting early failure of generator by enhancing transformations by electrical current characteristic

A technology of current characteristics and early faults, applied in the field of non-destructive online diagnosis of induction motor faults, can solve problems such as difficult detection of side frequency components and faults
CN101363901AInactive Publication Date: 2009-02-11NAT UNIV OF DEFENSE TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Publication Date
2009-02-11
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention provides a method for the early failure detection of a motor using current characteristic enhancement transformation, which comprises (1) real-time collecting three-phase current of an induction machine ia, ib, and ic, and calculating a transformation matrix K based on a current power frequency fe; (2) demodulating via the following formula to obtain a torque current iq and a magnetizing current id, wherein iqd0 is equal to Kiabc; (3) performing fast Fourier transformation of torque current iq and the magnetizing current to obtain a subtle current characteristic spectrum; and (4) comparing with the failure characteristic frequency of the induction machine, and determining the failure types of the induction machine. The method has the advantages of simple principle, simple operation, and high measuring accuracy, and can extract failure characteristic component in severe power frequency background using the current characteristic enhancement transformation to detect the early failure of the induction machine.
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Description

technical field

[0001] The invention mainly relates to the technical field of non-destructive on-line diagnosis of induction motor faults, in particular to a method for early fault detection of motors by using current characteristic enhancement transformation. Background technique

[0002] In the prior art, the current characteristic analysis is commonly used to monitor the state of the three-phase induction motor, and to diagnose its common faults such as broken rotor bar, short circuit of turns, and gap eccentricity. In this technology, the induction motor current acquired by the sensor is first converted into a digital signal by data acquisition, and then analyzed by a diagnostic algorithm. The commonly used analysis method is mainly current signal spectrum analysis. If there is a fault, side frequency components will appear in the spectrum. Usually, the frequency of the side frequency component is very close to the 50Hz power frequency, but the amplitude of the side fre...

Claims

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