【摘要】：機(jī)械設(shè)備狀態(tài)監(jiān)測與故障診斷是一門綜合性技術(shù)，其本質(zhì)是對機(jī)器運行狀態(tài)進(jìn)行模式識別。首先對故障信號的特征進(jìn)行提取和分類，然后通過一定的智能手段進(jìn)行有效地識別。而特征提取的有效性以及準(zhǔn)確性是機(jī)械故障診斷的關(guān)鍵。 TRT發(fā)電機(jī)組的穩(wěn)定運行，無論從節(jié)能環(huán)保的社會效益角度還是從企業(yè)的經(jīng)濟(jì)效益角度出發(fā)，維持TRT發(fā)電機(jī)組平穩(wěn)、高效、穩(wěn)定的運行都是百利而無一害的。而在實際生產(chǎn)運行過程中，往往TRT發(fā)電機(jī)組的運行狀態(tài)劣化的初始都是從機(jī)組的振動發(fā)生變化開始的，，因此對TRT發(fā)電機(jī)組進(jìn)行振動分析和故障診斷是非常必要的。 本課題以TRT發(fā)電機(jī)組系統(tǒng)為研究對象，首先采用頻譜分析方法對TRT發(fā)電機(jī)組系統(tǒng)的振動信號進(jìn)行頻譜分析，判斷TRT發(fā)電機(jī)組系統(tǒng)工作狀態(tài)，發(fā)現(xiàn)TRT發(fā)電機(jī)組系統(tǒng)存在不平衡故障；其次為進(jìn)一步確認(rèn)所診斷的故障的準(zhǔn)確性，采用小波分析方法對TRT發(fā)電機(jī)組系統(tǒng)再進(jìn)行診斷，即采用db10小波進(jìn)行5層小波分解，求出小波重構(gòu)序列的特征向量，將所得到的特征向量與典型故障特征向量進(jìn)行比較，并借助MATLAB小波工具箱對振動信號進(jìn)行小波分解與重構(gòu)，對TRT發(fā)電機(jī)組系統(tǒng)做進(jìn)一步故障診斷分析，確定故障類型。分析結(jié)果表明，TRT發(fā)電機(jī)組系統(tǒng)確實存在不平衡故障，同時也證明小波分析方法應(yīng)用在TRT發(fā)電機(jī)組系統(tǒng)進(jìn)行故障診斷的可行性，為企業(yè)建立有針對性的維修體制具有一定的指導(dǎo)意義。
[Abstract]:Condition monitoring and fault diagnosis of mechanical equipment is a comprehensive technology, the essence of which is pattern recognition of machine running state. Firstly, the features of fault signal are extracted and classified, and then the fault signal is identified effectively by certain intelligent means. The effectiveness and accuracy of feature extraction is the key to mechanical fault diagnosis. The stable operation of TRT generator set, whether from the point of view of social benefits of energy saving and environmental protection or from the point of view of economic benefits of enterprises, to maintain the stable, efficient and stable operation of TRT generating set is beneficial without harm. In the actual production and operation process, the deterioration of the operation state of the TRT generator set begins with the change of the vibration of the unit, so it is very necessary to carry out vibration analysis and fault diagnosis of the TRT generator set. In this paper, the TRT generator set system is taken as the research object. Firstly, the spectrum analysis method is used to analyze the vibration signal of the TRT generator set system, and the working state of the TRT generator set system is judged. It is found that there is imbalance fault in TRT generator set system. Secondly, in order to further confirm the accuracy of the fault diagnosis, the wavelet analysis method is used to diagnose the TRT generator set system, that is, the db10 wavelet is used for five-layer wavelet decomposition, and the eigenvector of the wavelet reconstruction sequence is obtained. The obtained eigenvector is compared with the typical fault eigenvector, and the vibration signal is decomposed and reconstructed by means of MATLAB wavelet toolbox. The further fault diagnosis and analysis of TRT generator set system is carried out, and the fault type is determined. The analysis results show that there is an unbalanced fault in the TRT generator set system, and it is also proved that the wavelet analysis method is feasible to apply the wavelet analysis method to the fault diagnosis of the TRT generator set system. It is of certain guiding significance to establish a targeted maintenance system for enterprises.
【學(xué)位授予單位】：遼寧科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2012
【分類號】：TH165.3;TM31

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