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Motor rotor fault diagnosis based on the refinement spectrum of stator current amplitude correction

Author: YangGuiRong
Tutor: WangBingFeng
School: University of Electronic Science and Technology
Course: Control Theory and Control Engineering
Keywords: Stator current Rotor Fault Diagnosis Load fluctuations Zoom Spectrum Hilbert transform
CLC: TM343
Type: Master's thesis
Year: 2011
Downloads: 63
Quote: 0
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Abstract


The induction motor is the complete electromechanical energy conversion device, and occupies a very important position in modern power systems. With the motor running time, the minor fault is likely to lead to the entire power system adverse phenomenon found in the use of the process from the motor. Therefore, the diagnosis of motor early failures to ensure the normal operation of the power system security is of great significance. Stator current has easy to collect, contaminated, and can realize the advantages of online monitoring, are generally based on the signal motor fault detection technique. Consider the the rotor design defects and drag load operation, so that the probability of failure accounted for about 10% of the total motor failure, become one of the main fault of the motor. When the load operation of the motor drag fluctuations, spectrum analysis generate unwanted frequency components is likely to cause the rotor fault misjudgment. This paper mainly as steady-state stator current signal of failure analysis, motor rotor fault detection in the case of load fluctuations as the object of study, proposes a new Fault Diagnosis Method for the elimination of load fluctuations, namely amplitude correction spectrum zoom technology. Load cycle fluctuations and stable case, the method can effectively extract the rotor fault feature, and can make an overall assessment of the severity of the rotor fault, and ultimately effective rotor fault diagnosis. The main contents of this paper are as follows: 1. Analysis of asynchronous motor rotor cause of the malfunction and failure characteristics reflect the characteristics of the stator current signal to provide a theoretical basis for the rotor fault detection based on the stator current signal. Key research rotor asymmetry fault simulation model based on MATLAB software, in order to gain the rotor fault data, ease of this paper, the experimental validation of the detection theory. Detailed study of motor drag the fluctuating load operation Rotor Fault Feature Extraction, amplitude correction spectrum rotor asymmetry fault principle and algorithm refinement technique detected in the case of load fluctuations. Finally, the digital simulation motor drag the fluctuation load operation, to verify the feasibility of the detection theory extracting rotor fault feature. 4. Detailed study the amplitude correction spectrum refine the usefulness of technology in rotor fault diagnosis. By comparison with the previous method, such as the stator current stable signal segment Hilbert spectrum analysis: load stable case load fluctuations refined frequency analysis, detection theory validation from the experimental results presented in this paper in extracting rotor fault feature effectiveness. In addition, the case load cycle fluctuations rotor fault severity factor and voltage imbalance Rotor Fault Feature Extraction research, in order to achieve effective rotor failure early diagnosis. Ultimately to facilitate the fault predictive maintenance, to avoid a serious accident.

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