王 飛1, 李保華1，2, 馮 偉2, 章 瑋3
（1.中國人民解放軍96621部隊，北京 100085； 2.北京航空航天大學，北京 100083；
3.江西應用技術職業學院，江西 贛州 341000）
摘 要：無人機故障預報是無人機故障檢測的重要組成部分之一，它能有效地減小無人機的故障發生率。利用統計過程控制（SPC）理論，從數理統計的角度對某無人機的測試數據進行分析，并根據常見的五種故障數據，設計了一套無人機故障預報系統，同時給出了系統的工作原理和具體的實現過程。本系統有助于技術人員發現無人機的潛在故障并判斷檢測設備是否虛警，具有良好的使用性能和價值。
關鍵詞：無人機；測試數據；統計過程控制；數理統計；故障數據；故障預報
中圖分類號：TP277 文獻標識碼：A 文章編號：1672-4984（2007）01-0023-03
Application of the statistical process control in UAV fault prediction system
WANG Fei1， LI Bao-hua1，2， FENG Wei2， ZHANG Wei3
（1.PLA 96621 Unit，Beijing 100085，China；2.Beijing University of Aeronautics and Astronautics，Beijing 100083,China；
3.Jiangxi College of Applied Technology，Ganzhou 341000，China）
Abstract: UAV fault prediction，an important part of unmanned aerial vehicle (UAV) fault detection，is effective in reducing the malfunction occurrence rate of UAV. In this paper，the test data of UAV was analyzed by using math-ematical statistics based on the theory of statistical process control. The fault prediction system was designed and its working principle and working process were described by analyzing the five kinds of fault data commonly oc-curred. This system would be valuable and helpful for technicians to find the potential faults of UAV and to tell the real alarms from the false ones. The system has satisfactory capability and value.
Key words：UAV；Measuring data；Statistical process control；Mathematic statistics；Fault data；Fault prediction
