針對飛機(jī)地面壓力加油系統(tǒng)傳感器的實(shí)測信息,提出了實(shí)際環(huán)境下的傳感器信息確認(rèn)算法.
利用貝葉斯網(wǎng)絡(luò)(BN) 構(gòu)造傳感器的相互關(guān)系,描述了各傳感器之間相互依賴與獨(dú)立的程度,并且對傳感器參數(shù)進(jìn)行動(dòng)態(tài)評估,得出了對系統(tǒng)狀態(tài)的準(zhǔn)確判斷,用于指導(dǎo)對故障的有效確認(rèn). 在地面試驗(yàn)研究過程中,對一起管路嚴(yán)重超壓現(xiàn)象進(jìn)行了成功的判斷,證明了該方法的可行性和有效性.
關(guān)鍵詞: 壓力加油系統(tǒng);傳感器;貝葉斯網(wǎng)絡(luò);有效性
Abstract : Aimed at the on - line data f rom sensors of airplane pressure fueling system , an algorithm for sensor validation is presented with the help of Bayesian network (BN) . The degrees of dependence and independence among all the sensors are determined. Then the accurate judgment s to the system state can be deduced to guide the fault isolation. During the experiment s , an incident of pressure overshoot comes forth in the ent rance pipeline connected with the reservoir No. 5 , and the analytical result shows something wrong with the corresponding oil height sensor. Through the succedent detection , the phenomenone that the inner resistance mismatch really occurs in the same sensor , the experiment testifies st rongly that the method described above is feasible and efficient .
Keywords : pressure f ueling system ; sensors ; Bayesian network ; validation