【摘要】：隨著民用飛機(jī)和航線數(shù)量的不斷攀升,民航業(yè)進(jìn)入了大數(shù)據(jù)時(shí)代,如何有效地檢測(cè)異常數(shù)據(jù)并且避免它們對(duì)分析結(jié)果的不利影響是研究的焦點(diǎn)。本文圍繞四分位法和目前民航界慣用的標(biāo)準(zhǔn)差法展開(kāi)討論,主要從數(shù)據(jù)集分布、異常值比例、異常值檢測(cè)能力、抗擾動(dòng)性和可視化效果5方面對(duì)四分位法和標(biāo)準(zhǔn)差法進(jìn)行分析。最后通過(guò)快速存取記錄器(Quick access recorder,QAR)數(shù)據(jù)分析論證,四分位法在上述5方面都表現(xiàn)出比標(biāo)準(zhǔn)差法更好的性質(zhì),四分位法更適合應(yīng)用在民航告警領(lǐng)域。
[Abstract]:With the increasing number of civil aircraft and airlines, the civil aviation industry has entered the era of big data, how to effectively detect abnormal data and avoid their adverse effects on the analysis results is the focus of research. In this paper, the quartile method and the standard deviation method used in civil aviation are discussed. The quartile method and standard deviation method are analyzed from five aspects: data set distribution, outlier ratio, outlier detection ability, anti-disturbance and visualization effect. Finally, through the data analysis of (Quick access recorder,QAR, the quartile method is better than the standard deviation method in the above five aspects, and the quartile method is more suitable for civil aviation alarm.
【作者單位】： 中國(guó)民航科學(xué)技術(shù)研究院航空安全研究所;
【基金】：國(guó)家自然科學(xué)基金民航聯(lián)合基金(U1533120)資助項(xiàng)目;國(guó)家自然科學(xué)基金(11371365,11301535)資助項(xiàng)目
【分類號(hào)】：V328
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本文編號(hào)：2325392