本文關(guān)鍵詞：氣象雷達(dá)散熱系統(tǒng)動(dòng)力裝置的性能研究　出處：《中國(guó)民航大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 電機(jī) 故障預(yù)測(cè) 粒子群 支持向量機(jī)

【摘要】：隨著航空事業(yè)的發(fā)展,航空安全問(wèn)題受到廣泛關(guān)注,而機(jī)載設(shè)備的安全性和可靠性直接影響航空安全。機(jī)載氣象雷達(dá)是機(jī)載航空電子系統(tǒng)的重要子系統(tǒng),雷達(dá)的損壞極有可能導(dǎo)致飛機(jī)中途返航,影響航班行程,給航空公司和機(jī)場(chǎng)帶來(lái)巨大損失,所以預(yù)測(cè)故障的發(fā)生時(shí)間以及趨勢(shì),提前對(duì)失效航空器件進(jìn)行維修、替換顯得尤為重要。氣象雷達(dá)系統(tǒng)失效的主要成因是散熱系統(tǒng)故障,AMETEK航空風(fēng)扇作為散熱系統(tǒng)的核心部件,由永久分相式電容電機(jī)驅(qū)動(dòng),電機(jī)運(yùn)行狀態(tài)異常成為影響氣象雷達(dá)工作效能的重要原因。因此快速有效地對(duì)電容式電機(jī)進(jìn)行故障預(yù)測(cè)具有現(xiàn)實(shí)意義。本文在研究散熱系統(tǒng)結(jié)構(gòu)特征的基礎(chǔ)上,通過(guò)分析氣象雷達(dá)散熱系統(tǒng)和其動(dòng)力裝置電容式電機(jī)的故障機(jī)理,采用統(tǒng)計(jì)過(guò)程控制方法對(duì)電容式電機(jī)的性能進(jìn)行預(yù)判,提醒維修人員對(duì)氣象雷達(dá)散熱系統(tǒng)進(jìn)行實(shí)時(shí)監(jiān)測(cè)。同時(shí)運(yùn)用改進(jìn)的粒子群優(yōu)化算法模型,優(yōu)化支持向量機(jī)的懲罰因子和核函數(shù),提高支持向量機(jī)回歸預(yù)測(cè)精度,再進(jìn)一步將支持向量回歸機(jī)和支持向量分類機(jī)相結(jié)合,對(duì)電容式電機(jī)的電壓、電流數(shù)據(jù)進(jìn)行回歸預(yù)測(cè),建立電機(jī)故障預(yù)測(cè)模型,從而實(shí)現(xiàn)電容式電機(jī)運(yùn)行的狀態(tài)預(yù)測(cè)。通過(guò)實(shí)驗(yàn)仿真和現(xiàn)場(chǎng)驗(yàn)證,結(jié)果表明,基于支持向量機(jī)的電機(jī)故障預(yù)測(cè)模型可對(duì)氣象雷達(dá)散熱系統(tǒng)動(dòng)力裝置電機(jī)的故障作出快速準(zhǔn)確預(yù)測(cè),以便保障氣象雷達(dá)系統(tǒng)正常工作,對(duì)提高飛行安全有較好的實(shí)用價(jià)值。
[Abstract]:With the development of aviation industry, aviation safety has been paid more and more attention, and the safety and reliability of airborne equipment have a direct impact on aviation safety. Airborne weather radar is an important subsystem of airborne avionics system. Radar damage is likely to lead to the mid-way return of aircraft, affect the flight itinerary, and bring huge losses to airlines and airports, so predict the time and trend of the failure, and repair the failed aviation devices ahead of time. The main cause of the failure of meteorological radar system is that the AMETEK aeronautical fan, as the core part of the heat dissipation system, is driven by permanent phase separation capacitor motor. The abnormal operating state of the motor has become an important reason to affect the operational efficiency of meteorological radar. Therefore, it is of practical significance to predict the fault of capacitive motor quickly and effectively. This paper studies the structural characteristics of the heat dissipation system. By analyzing the fault mechanism of capacitive motor of meteorological radar heat dissipation system and its power device, the performance of capacitive motor is forecasted by statistical process control method. At the same time, the improved particle swarm optimization algorithm model is used to optimize the penalty factor and kernel function of support vector machine to improve the prediction accuracy of support vector machine regression. Furthermore, the support vector regression machine and the support vector classifier are combined to predict the voltage and current data of the capacitive motor, and the fault prediction model of the motor is established. In order to realize the state prediction of capacitive motor operation, the experimental simulation and field verification show that. The motor fault prediction model based on support vector machine (SVM) can predict the motor fault of the heat dissipation system of meteorological radar quickly and accurately, so as to ensure the normal operation of meteorological radar system. It has good practical value to improve flight safety.
【學(xué)位授予單位】：中國(guó)民航大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN959.4
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本文編號(hào)：1359661