CAJ | 학술논문

为更好地利用当前航空装备系统积累的大量飞行数据，从中挖掘信息来更有效地服务于空军装备可靠性为中心的维修保障工作，将数据分析技术应用到当前的装备故障诊断中，设计并实现了某型飞机惯性导航系统状态数据分析和故障诊断系统．分析了整个系统的数据处理过程，对数据自动判读处理、数据清理和修正进行了研究．设计了支持向量机模型，提出了通过对惯导状态信息数据进行回归预测，用预测值与实际值之间误差诊断故障；通过状态数据和与之对应的故障信息库，用支持向量机进行故障分类两种方法来实现故障的诊断和决策．最后对模型进行了验证和分析．
위경호지이용당전항공장비계통적루적대량비행수거，종중알굴신식래경유효지복무우공군장비가고성위중심적유수보장공작，장수거분석기술응용도당전적장비고장진단중，설계병실현료모형비궤관성도항계통상태수거분석화고장진단계통．분석료정개계통적수거처리과정，대수거자동판독처리、수거청리화수정진행료연구．설계료지지향량궤모형，제출료통과대관도상태신식수거진행회귀예측，용예측치여실제치지간오차진단고장；통과상태수거화여지대응적고장신식고，용지지향량궤진행고장분류량충방법래실현고장적진단화결책．최후대모형진행료험증화분석．
In order to take full advantages of the mass aviation data from the air force equipment, and find useful information which could serve the RCM （reliability centered maintenance） better, the modern data analysis technologies is introduced to current diagnostics, and an INS （inertial navigation system） condition data analysis and diagnostic system of one kind of plane is designed. This paper describes the data analysis procedure of the system, studies on the auto-reading and judgment, data filter and modification of it. Then an SVM model is presented, which contains the regression and the classification model. Based on these models, two methods are putted forward; one diagnoses the equipments by comparing the forecast value from the regression model with real value, the other by classifying the ：faults through condition data and corresponding fault information database. Finally a group of real data are used to verify and evaluate these methods.