本文關鍵詞： 異步電機 故障診斷 多回路分析 小波分析　出處：《中南大學》2014年碩士論文　論文類型：學位論文

【摘要】：異步電機以其結構簡單、價格低廉、可靠性高的優(yōu)點,在現代工農業(yè)生產、交通運輸、國防工程和人們的日常生活中取得了廣泛應用。異步電機發(fā)生故障不僅會損壞電機本身,嚴重時還會使電機突然停機、生產線崩潰,造成巨大的經濟損失和災難性后果。因此,開展對異步電機故障特征和診斷方法的研究,有著十分重要的價值。 本文針對異步電機的故障診斷研究,主要完成了以下工作： 分析了異步電機的多種故障診斷方法,比較了各種方法的優(yōu)缺點。從異步電機的工作原理和基本電磁關系出發(fā),對定子匝間短路和轉子斷條故障的特征機理進行了分析。 在精確計算定轉子繞組電感參數的基礎上,分析了電感大小與諧波的關系。建立了異步電機的多回路模型。在故障特征機理分析的基礎上進行了異步電機故障仿真研究,比較了電機正常工作與定、轉子故障時的定子電流波形較明顯的特征,分析了轉子斷條根數與一種新的定子電流故障特征量的關系。 以小波分析理論為基礎,比較了多種小波分析方法在信號降噪中的應用,提出了一種基于小波包能量閾值分段的異步電機故障信號消噪方法。針對從負載波動狀態(tài)下的電機定子電流信號中不利于提取出轉子故障特征的問題,研究了Hilbert變換對定子電流信號的解調特性,并考察了應用小波分析判斷負載波動和斷條故障的可行性,提出了基于小波變換系數和Hilbert解調的轉子故障診斷方法。仿真驗證和電機實測信號分析的結果證明,上述方法能有效地對故障運行狀態(tài)下的電機定子電流信號進行消噪,并能從負載波動的電機定子穩(wěn)態(tài)電流中提取出轉子故障特征量,從而對轉子斷條故障進行準確有效的診斷。圖43幅,表4個,參考文獻61篇。
[Abstract]:Because of its simple structure, low price and high reliability, asynchronous motor is widely used in modern industrial and agricultural production, transportation and transportation. National defense engineering and people's daily life have been widely used. Asynchronous motor failure will not only damage the motor itself, but also make the motor suddenly shut down and the production line collapse. Therefore, it is of great value to study the fault characteristics and diagnosis methods of asynchronous motor. In this paper, the main work of fault diagnosis of asynchronous motor is as follows: This paper analyzes various fault diagnosis methods of asynchronous motor, compares the advantages and disadvantages of each method, and sets out from the working principle and basic electromagnetic relation of asynchronous motor. The characteristic mechanism of stator inter-turn short circuit and rotor bar breakage is analyzed. The inductance parameters of stator and rotor windings are calculated accurately. The relationship between inductance and harmonic is analyzed, and the multi-loop model of induction motor is established. Based on the analysis of fault characteristic mechanism, the fault simulation of asynchronous motor is carried out, and the normal operation and setting of induction motor are compared. The characteristic of stator current waveform in rotor fault is obvious. The relationship between rotor broken root number and a new stator current fault characteristic quantity is analyzed. Based on the theory of wavelet analysis, the applications of various wavelet analysis methods in signal noise reduction are compared. This paper presents a method of de-noising fault signal of asynchronous motor based on wavelet packet energy threshold, aiming at the problem that it is difficult to extract rotor fault characteristics from stator current signal of motor under load fluctuation. The demodulation characteristics of stator current signal based on Hilbert transform are studied, and the feasibility of using wavelet analysis to judge load fluctuation and broken bar fault is investigated. A rotor fault diagnosis method based on wavelet transform coefficient and Hilbert demodulation is proposed. The method can effectively remove the noise of motor stator current signal under the condition of fault operation, and can extract the rotor fault characteristic quantity from the steady state current of the motor stator under the load fluctuation. Thus, accurate and effective diagnosis of broken bar fault of rotor is carried out. 43 figures, 4 tables, 61 references.
【學位授予單位】：中南大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM343

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相關期刊論文 前1條

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本文編號：1491317