異步電機(jī)的故障特征分析和診斷方法研究
發(fā)布時(shí)間:2018-02-04 22:26
本文關(guān)鍵詞: 異步電機(jī) 故障診斷 多回路分析 小波分析 出處:《中南大學(xué)》2014年碩士論文 論文類型:學(xué)位論文
【摘要】:異步電機(jī)以其結(jié)構(gòu)簡(jiǎn)單、價(jià)格低廉、可靠性高的優(yōu)點(diǎn),在現(xiàn)代工農(nóng)業(yè)生產(chǎn)、交通運(yùn)輸、國(guó)防工程和人們的日常生活中取得了廣泛應(yīng)用。異步電機(jī)發(fā)生故障不僅會(huì)損壞電機(jī)本身,嚴(yán)重時(shí)還會(huì)使電機(jī)突然停機(jī)、生產(chǎn)線崩潰,造成巨大的經(jīng)濟(jì)損失和災(zāi)難性后果。因此,開展對(duì)異步電機(jī)故障特征和診斷方法的研究,有著十分重要的價(jià)值。 本文針對(duì)異步電機(jī)的故障診斷研究,主要完成了以下工作: 分析了異步電機(jī)的多種故障診斷方法,比較了各種方法的優(yōu)缺點(diǎn)。從異步電機(jī)的工作原理和基本電磁關(guān)系出發(fā),對(duì)定子匝間短路和轉(zhuǎn)子斷條故障的特征機(jī)理進(jìn)行了分析。 在精確計(jì)算定轉(zhuǎn)子繞組電感參數(shù)的基礎(chǔ)上,分析了電感大小與諧波的關(guān)系。建立了異步電機(jī)的多回路模型。在故障特征機(jī)理分析的基礎(chǔ)上進(jìn)行了異步電機(jī)故障仿真研究,比較了電機(jī)正常工作與定、轉(zhuǎn)子故障時(shí)的定子電流波形較明顯的特征,分析了轉(zhuǎn)子斷條根數(shù)與一種新的定子電流故障特征量的關(guān)系。 以小波分析理論為基礎(chǔ),比較了多種小波分析方法在信號(hào)降噪中的應(yīng)用,提出了一種基于小波包能量閾值分段的異步電機(jī)故障信號(hào)消噪方法。針對(duì)從負(fù)載波動(dòng)狀態(tài)下的電機(jī)定子電流信號(hào)中不利于提取出轉(zhuǎn)子故障特征的問題,研究了Hilbert變換對(duì)定子電流信號(hào)的解調(diào)特性,并考察了應(yīng)用小波分析判斷負(fù)載波動(dòng)和斷條故障的可行性,提出了基于小波變換系數(shù)和Hilbert解調(diào)的轉(zhuǎn)子故障診斷方法。仿真驗(yàn)證和電機(jī)實(shí)測(cè)信號(hào)分析的結(jié)果證明,上述方法能有效地對(duì)故障運(yùn)行狀態(tài)下的電機(jī)定子電流信號(hào)進(jìn)行消噪,并能從負(fù)載波動(dòng)的電機(jī)定子穩(wěn)態(tài)電流中提取出轉(zhuǎn)子故障特征量,從而對(duì)轉(zhuǎn)子斷條故障進(jìn)行準(zhǔn)確有效的診斷。圖43幅,表4個(gè),參考文獻(xiàn)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(xué)位授予單位】:中南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM343
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 劉徽;異步電機(jī)電感參數(shù)的通用計(jì)算方法[J];大電機(jī)技術(shù);2000年03期
,本文編號(hào):1491317
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