Air gap eccentricity fault diagnosis and classification method of ANFIS wind power double-fed asynchronous motor

A double-fed asynchronous motor, air gap eccentric technology, applied in the direction of motor generator testing, neural learning methods, measuring electricity, etc., can solve the problem of improper installation of the stator core rotor position, etc., to achieve the effect of strong reliability
CN107091986AInactive Publication Date: 2017-08-25HOHAI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HOHAI UNIV
Publication Date
2017-08-25
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an air gap eccentricity fault diagnosis and classification method of an ANFIS wind power double-fed asynchronous motor, belonging to the field of motor state detection and fault diagnosis. Wind power double-fed asynchronous motor air gap eccentricity faults are divided into several frequent fault types, based on software simulation. A double-fed asynchronous motor model is simulated and several fault types when an air gap eccentricity happens are simulated. The changes of current in a stator winding under different eccentricities of moving and static eccentric faults, a time domain is converted into a spectrogram when the wavelet decomposition of the current is carried out, characteristic frequency bands when different faults happen are extracted, the fault characteristic frequencies corresponding to different types of the air gap eccentricity faults are analyzed, then the wavelet energy of the bands are used as training sample data, an adaptive neural fuzzy inference system for the double-fed asynchronous motor air gap eccentricity faults is constructed, a hybrid learning algorithm is introduced to carry out training, and the air gap eccentricity fault type of the double-fed asynchronous motor is judged. The method has the advantages of high precision and high operability.
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Description

technical field

[0001] The invention relates to an ANFIS (Adaptive Neuro-Fuzzy Inference System) air-gap eccentric fault diagnosis and classification method of a double-fed asynchronous motor for wind power, which belongs to the field of motor state detection and fault diagnosis. Background technique

[0002] Since the "Twelfth Five-Year Plan", my country's energy industry has been committed to actively promoting the implementation of energy conservation and emission reduction, low-carbon green, comprehensive coordination and sustainable strategies. Wind power technology has gradually become a hot mainstream direction in the world's new energy development trend due to its energy cleanliness, green environmental protection and continuous flow.

[0003] Among the wind turbines currently in operation, the variable-speed constant-frequency wind turbine has gradually become the mainstream model due to its good performance and stable structure, and the doubly-fed asynchronous ge...

Claims

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