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Research of Motor’s Parameter Analysis and Test System Based on High Speed Acquisition

Author: WangJing
Tutor: LiuJiaoMin
School: Hebei University of Science and Technology
Course: Computer Science and Technology
Keywords: Asynchronous motor TMS320F2812 Broken rotor bars Bearing failure Rub Rotor
CLC: TM343
Type: Master's thesis
Year: 2010
Downloads: 88
Quote: 0
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Abstract


In this paper, the analysis test system based on high-speed acquisition of motor parameters . System including data acquisition and motor fault diagnosis in two parts , to small and medium-sized three-phase squirrel cage asynchronous motor as the data source , a digital signal processor control ADS8364 converters for high-speed acquisition of motor parameters , and thus the signal collected analyze the treatment and diagnosis of asynchronous motor failure , involves induction motor fault diagnosis algorithm , as well as a variety of fault diagnosis method is to do a detailed analysis shows . The system will TMS320F2812 as data processing and control unit , shorten the instruction cycle , improve data collection and transmission speed A / D converter module ADS8364 based data caching and data transmission through the CPLD logic control hardware circuit design simple, to achieve high - speed data collection , real-time transmission and to achieve a high degree of stability and reliability of the motor fault diagnosis of broken rotor bar fault , motor bearing failure and three aspects of rotor Rubbing Fault , broken rotor bars of this study failure using wavelet packet analysis combined with the fast Fourier transform method (FFT) analysis of the induction motor stator current signal , not only be able to diagnose the motor is faulty , combined with the FFT method to determine the fault frequencies using wavelet analysis to detect induction motor broken rotor bars the time of occurrence of the failure ; introduction of the Hilbert-Huang Transform frequency vibration signal analysis method to DSP acquisition asynchronous motor with EMD decomposition results given Hilbert marginal spectrum , so that the inner bearing failure frequency diagnostic asynchronous motor ring, outer ring, rolling element fault ; Finally, the use of wavelet analysis method in the diagnosis of motor rotor rubbing fault . The various asynchronous motor fault detection and diagnosis , and the use of the text and the experimental results show the effectiveness of the proposed method .

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CLC: > Industrial Technology > Electrotechnical > Motor > AC motor > Induction motor
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