本文選題：鼠籠異步電機(jī) + 故障診斷　； 參考：《中國(guó)礦業(yè)大學(xué)》2014年碩士論文

【摘要】：鼠籠異步電機(jī)因?yàn)槠浜?jiǎn)單的結(jié)構(gòu)、可靠的運(yùn)行以及低廉的價(jià)格，在工農(nóng)業(yè)生產(chǎn)中得到廣泛應(yīng)用。但是受惡劣的工作環(huán)境、頻繁的起動(dòng)制動(dòng)以及外力等其他一些因素的影響，異步電機(jī)常常會(huì)發(fā)生各種各樣的故障。這些電機(jī)故障不僅會(huì)損壞電機(jī)本身，而且還會(huì)影響整個(gè)工業(yè)生產(chǎn)的運(yùn)行。因此，能夠使用行之有效的方法對(duì)常見故障進(jìn)行診斷和分析是當(dāng)前研究鼠籠型異步電機(jī)工作的主流。傳統(tǒng)的診斷方法存在一定局限性，不能很好地進(jìn)行故障診斷。文章以鼠籠異步電機(jī)的定子電流信號(hào)為研究對(duì)象，以定子電流中的特征頻率為視角，提出了以小波包理論和支持向量機(jī)理論為基礎(chǔ)的故障診斷方法。主要工作如下： 首先在分析鼠籠電機(jī)轉(zhuǎn)子基本結(jié)構(gòu)，，和轉(zhuǎn)子斷條故障原因、故障機(jī)理基礎(chǔ)上，對(duì)診斷方法進(jìn)行了總結(jié)，得到了定子電流診斷方法；其次學(xué)習(xí)了小波變換和小波包變換的基本原理，并進(jìn)一步提出了基于小波包理論的最優(yōu)小波包基降噪和頻帶能量方法，并使用MATLAB對(duì)該方法的有效性和可靠性進(jìn)行了仿真驗(yàn)證。再次，概要分析了機(jī)器學(xué)習(xí)的基本理論，著重對(duì)分類支持向量機(jī)理論以及其改進(jìn)理論最小二乘支持向量機(jī)進(jìn)行了分析與理論推導(dǎo)；最后以從故障診斷試驗(yàn)平臺(tái)采集到的定子電流信號(hào)為原始數(shù)據(jù)，采用上面的方法通過(guò)編寫MATLAB程序逐步分析，得到了較高的故障診斷準(zhǔn)確率。 文章認(rèn)為以小波包和最小二乘支持向量機(jī)為基礎(chǔ)的方法能夠很好的消除噪聲、提取特征信息、進(jìn)行準(zhǔn)確的分類判斷。具有很好理論推廣價(jià)值和應(yīng)用價(jià)值。
[Abstract]:Squirrel cage asynchronous motor is widely used in industry and agriculture because of its simple structure, reliable operation and low price. However, due to the bad working environment, frequent starting and braking, and other factors such as external force, asynchronous motors often have a variety of faults. These motor failures will not only damage the motor itself, but also affect the operation of the entire industrial production. Therefore, it is the mainstream of the research on squirrel cage asynchronous motor to be able to diagnose and analyze the common faults by using effective methods. The traditional diagnosis method has some limitations and can not be used well in fault diagnosis. In this paper, a fault diagnosis method based on wavelet packet theory and support vector machine (SVM) is proposed based on the stator current signal of squirrel cage asynchronous motor and the characteristic frequency of stator current. The main tasks are as follows: Firstly, on the basis of analyzing the basic structure of squirrel cage motor rotor, the cause of rotor broken bar fault and the fault mechanism, the diagnosis method is summarized, and the stator current diagnosis method is obtained. Secondly, the basic principles of wavelet transform and wavelet packet transform are studied, and the optimal wavelet packet basis denoising and frequency band energy method based on wavelet packet theory is proposed, and the effectiveness and reliability of the method are verified by using MATLAB. Thirdly, the basic theory of machine learning is analyzed, and the classification support vector machine theory and its improved least square support vector machine theory are analyzed and deduced. Finally, taking the stator current signal collected from the fault diagnosis test platform as the original data, the method above is used to analyze the stator current signal by writing the MATLAB program step by step, and the higher accuracy of fault diagnosis is obtained. This paper holds that the method based on wavelet packet and least square support vector machine can eliminate noise, extract feature information and make accurate classification and judgment. It has very good theory popularization value and application value.
【學(xué)位授予單位】：中國(guó)礦業(yè)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10條

1 李姣軍;唐娜;蘇理云;徐勤;;對(duì)數(shù)能量熵的最優(yōu)小波包基搜尋算法[J];重慶理工大學(xué)學(xué)報(bào)(自然科學(xué));2011年11期

2 尹金良;朱永利;;支持向量機(jī)參數(shù)優(yōu)化及其在變壓器故障診斷中的應(yīng)用[J];電測(cè)與儀表;2012年05期

3 安永紅;夏昌浩;;籠型異步電動(dòng)機(jī)轉(zhuǎn)子斷條故障診斷技術(shù)[J];電力學(xué)報(bào);2006年03期

4 楊朋松;呂永健;逯國(guó)亮;;基于小波神經(jīng)網(wǎng)絡(luò)的電機(jī)故障診斷研究[J];大電機(jī)技術(shù);2009年04期

5 王奔;冷北雪;張喜海;單纕

本文編號(hào)：1839912