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Induction motor rotor broken bar fault detection method based on stator current absolute phase

A technology of absolute phase and broken rotor bars, applied in the field of fault diagnosis, which can solve problems such as poor effect

Active Publication Date: 2020-08-25
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The method of eliminating the power frequency through the filter is less effective, and it is necessary to explore a new method of eliminating the power frequency

Method used

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  • Induction motor rotor broken bar fault detection method based on stator current absolute phase
  • Induction motor rotor broken bar fault detection method based on stator current absolute phase
  • Induction motor rotor broken bar fault detection method based on stator current absolute phase

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Experimental program
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Embodiment

[0137] A method for detecting a broken bar fault of an induction motor rotor based on the absolute phase of the stator current of the present invention, the steps of which are as follows:

[0138] 1) data acquisition, simultaneously gather the three-phase current signal I of the three-phase asynchronous motor sa , I sb and I sc :

[0139] 1.1) Connect the fault diagnosis system, three current sensors, and the data acquisition system.

[0140] 1.2) Set the sampling frequency and collect data of the three current signals at the same time.

[0141] 2) data preprocessing, respectively remove the current signal sequence I sa , I sb and I sc , and normalize the amplitude of each current signal to obtain three discrete time series X a 、X b and X c ;:

[0142] 2.1) Deaverage: remove the DC component contained in the collected current signal.

[0143] I m =I sm -mean(I sm )

[0144] Among them, mean(I) is the mean value of the calculated current sequence I, and m are a, b,...

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Abstract

The invention belongs to the technical field of fault diagnosis, and discloses an induction motor rotor broken bar fault detection method based on a stator current absolute phase, and the method comprises the steps: collecting a three-phase current signal of a three-phase asynchronous motor, preprocessing the acquired data, respectively removing direct-current components of the current signal sequence, and normalizing the amplitude of each path of current signal to obtain three discrete time sequences; performing derivation, vector construction, squaring, triple product calculation, absolute phase calculation and frequency domain analysis on the obtained discrete time sequence; and obtaining the fault characteristic frequency of the rotor broken bar of the three-phase asynchronous motor. The method is simple in principle, small in calculation amount, low in requirements for data storage and calculation capacity of equipment, small in influence of signal noise, and capable of achievingonline detection of motor rotor broken bars and diagnosing early faults of the motor.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, and in particular relates to a method for detecting a broken bar fault of an induction motor rotor based on the absolute phase of a stator current. Background technique [0002] Currently, induction motors are widely used as a driving component in industrial equipment. In critical applications that rely heavily on induction motors, failure of the motor can cause very costly downtime. In response to this problem, in the past ten years, in order to prevent expensive economic losses caused by motor failures, people have studied the technology of condition monitoring and fault diagnosis. Motor rotor broken bar is a common fault, which often causes unexpected failure of the motor, resulting in loss of production efficiency. In recent years, such faults have been more and more researched, and there is an urgent need to develop advanced diagnostic techniques that allow on-line detection and ca...

Claims

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Application Information

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IPC IPC(8): G01R31/34
CPCG01R31/346G01R31/343
Inventor 胡茑庆陈家庚张伦陈凌周洋罗鹏胡蛟王博政
Owner NAT UNIV OF DEFENSE TECH
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