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汽輪發(fā)電機組振動與噪聲監(jiān)測系統(tǒng)的研究

發(fā)布時間:2018-07-22 12:15
【摘要】:隨著我國對電力需求量的增大,越來越多的大容量汽輪發(fā)電機組投入使用。汽輪發(fā)電機組作為大型旋轉(zhuǎn)機械,振動是不可避免的。特別是近年來機組的單機容量越來越大,機組結(jié)構(gòu)更加復(fù)雜,產(chǎn)生振動故障的因素也越來越多。在電廠運行過程中,汽輪發(fā)電機組運行狀態(tài)的好壞直接關(guān)系到電廠運行的安全性和經(jīng)濟效益。因此,對汽輪發(fā)電機組振動在線監(jiān)測與故障診斷是當(dāng)前電廠的一個重要課題。本文經(jīng)過現(xiàn)場調(diào)研提出一種新型的汽輪發(fā)電機組在線監(jiān)測系統(tǒng),該系統(tǒng)不僅僅只用振動參數(shù)作為機組故障監(jiān)測的手段,通過引入機組噪聲參數(shù)輔助機組故障診斷,在機組振動故障監(jiān)測方面取得不錯的效果。 通過與電廠的產(chǎn)學(xué)研合作,以電廠2臺600MW超臨界汽輪發(fā)電機組為研究對象,研究開發(fā)了集振動參數(shù)和噪聲參數(shù)于一體的汽輪發(fā)電機組在線監(jiān)測系統(tǒng)。該系統(tǒng)由振動傳感器、噪聲傳感器,DSP數(shù)據(jù)采集系統(tǒng),上位機監(jiān)測系統(tǒng)三大部分組成。傳感器采用電渦流傳感器、磁電式速度傳感器和預(yù)極化傳聲器對信號進行采集;DSP數(shù)據(jù)采集系統(tǒng)采用TMS320LF2407作為核心處理芯片對信號進行采集、A/D轉(zhuǎn)換以及與上位機的SCI通信:上位機采用LabVIEW軟件平臺編寫機組故障在線監(jiān)測系統(tǒng);系統(tǒng)的SCI通信采用RS-485總線方式實現(xiàn)上、下位機的通信。通過機組故障在線監(jiān)測界面可以觀測機組各個部分軸振動、軸承座振動以及噪聲的實時運行曲線,方便對機組運行狀況進行掌握。監(jiān)測系統(tǒng)中的報警功能和邏輯控制部分可以很及時的處理機組異常振動和噪聲,從而保證機組安全、高效的運行。 本文研制的汽輪機發(fā)電機組振動和噪聲監(jiān)測系統(tǒng)已成功的完成了工業(yè)性實驗。實驗表明該系統(tǒng)可以穩(wěn)定高效的采集機組的振動和噪聲數(shù)據(jù),并能完成機組各測量點的數(shù)據(jù)存儲、分析與診斷,達到了預(yù)期效果。可以直接應(yīng)用于電廠超臨界發(fā)電機組監(jiān)測與故障診斷,對汽輪發(fā)電機組長期安全有效的運行具有重要作用。
[Abstract]:With the increasing demand for electric power in China, more and more large capacity turbine-generator units are put into use. As a large rotating machine, the vibration of turbogenerator is inevitable. Especially in recent years, the single unit capacity is increasing, the unit structure is more complex, and the factors of vibration fault are more and more. In the process of power plant operation, the operation condition of turbogenerator is directly related to the safety and economic benefit of power plant operation. Therefore, on-line monitoring and fault diagnosis of turbogenerator vibration is an important subject in power plant. In this paper, a new on-line monitoring system for turbine-generator sets is proposed through field investigation. The system not only uses vibration parameters as the means of unit fault monitoring, but also introduces noise parameters to assist unit fault diagnosis. Good results have been obtained in the vibration fault monitoring of the unit. An on-line monitoring system of turbogenerator set with vibration and noise parameters is developed by cooperating with the production, education and research of power plant and taking two 600 MW supercritical turbogenerator units as the research object. The system consists of three parts: vibration sensor, noise sensor and DSP data acquisition system. The sensor uses eddy current sensor, magnetoelectric speed sensor and prepolarization microphone to collect the signal. The DSP data acquisition system uses TMS320LF2407 as the core processing chip to collect the signal and the sci communication with the upper computer. The upper computer uses LabVIEW software platform to compile the on-line fault monitoring system of the unit. The sci communication of the system adopts RS-485 bus mode to realize the communication of the lower computer and the lower computer. Through the on-line monitoring interface of unit fault, the real-time operating curves of shaft vibration, bearing seat vibration and noise can be observed, which is convenient to master the operation condition of the unit. The alarm function and logic control in the monitoring system can deal with the abnormal vibration and noise of the unit in time so as to ensure the safe and efficient operation of the unit. The vibration and noise monitoring system of steam turbine generator set developed in this paper has successfully completed the industrial experiment. The experiments show that the system can collect vibration and noise data of the unit stably and efficiently, and can store, analyze and diagnose the data of each measuring point of the unit, and achieve the expected effect. It can be directly applied to the monitoring and fault diagnosis of supercritical generating units in power plants and plays an important role in the long-term safe and effective operation of turbogenerator sets.
【學(xué)位授予單位】:安徽理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM311;TP274

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