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Table of Content

    19 October 2016, Volume 34 Issue 5
    Civil Aviation
    Short-term 4D trajectory prediction based on KF joint EKF parameter identification
    ZHANG Tao, GAO Yang, ZHANG Chengwei, WU Renbiao
    2016, 34(5):  1-4. 
    Asbtract ( 1953 )  
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    A method based on KF-EKF jointed algorithm is proposed to identify motion model parameters for 4D trajectory prediction. On the basis of isometric track flight model, KF-EKF jointed algorithm is employed to identify the ground speed of aircraft, then the arriving time of aircraft爷s scheduled position is calculated. Latitude and longitude of aircraft are taken as observed variables and are updated respectively. Simulation result shows that it could reduce complexity of the computation and accurately predict the short-term flight track of constant speed cruise phase.

    Study on DMC estimation of aircraft components based on AdaBoost
    XU Jianxin, SUN Fadong
    2016, 34(5):  5-8. 
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    Component DMC estimation is a vital procedure in maintenance cost control. Aiming at the disadvantages of existing estimation methods such as low accuracy and large fluctuation, a new method based on AdaBoost (adaptive boosting) is introduced. Experiments show that this method does not rely on empirical data, it is obviously more accurate and stable than former ones. It is applicable to estimate the component DMC during design and maintenance process.

    Study on aero-engine faults diagnosis based on wavelet neural network
    YANG Yonggang, GU Jie
    2016, 34(5):  9-13. 
    Asbtract ( 1890 )  
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    In order to effectively identify the common fault types of aviation engine, a new method of engine fault diagnosis based on wavelet packet and neural network is proposed. Taking a certain type of aero-engine as research object,the vibration signal is decomposed and reconstructed through wavelet packet to obtain feature vector of its working condition. Then these data are input into the wavelet Elman neural network as training sample data and test sample data. Experimental results show that this method is feasible and the fault types of aero-engine is well recognized.

    Analytical study on PW4056 engine stable frame report based on QAR data
    CAO Huiling, ZHANG Xingchuan
    2016, 34(5):  14-19. 
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    The homology of QAR data and ACARS report data has been analyzed, as well as the structure and extraction logic of the engine stable frame report. An extracting method of engine stable frame report which meet the triggering conditions from QAR data is proposed. With the help of this method, not only the vast amount of raw monitoring QAR data can be fully tapped, but also a simulated ACARS report is obtained, which can be used in emergency management of airlines, assisting researches in condition monitoring and fault diagnosis of aircraft and engine. It can also be used in universities and scientific research units in teaching and researching.Computational analysis of both the actual ACARS reports and the extracted data of a B747- 400 airplane verifies the reliability and great prospects in application of this method.

    Parameter calibration of simulation model for airport curbside traffic based on physical characteristics
    WANG Xia, YU Lei, WAN Tao, SONG Guohua
    2016, 34(5):  20-25. 
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    As an important part of airport ground transportation, terminal curbside has both static and dynamic traffic characteristics.The data collecting method aiming at traffic characteristics of airport terminal curbside is designed.Four parameters including desired speed, acceleration, dwelling time and standstill distance are extracted to reflect the traffic characteristics at airport terminal curbside. Then, the parameter calibrating approach is proposed and a case study is conducted in T3 terminal at Beijing Capital International Airport. VISSIM is used to develop the simulation platform for airport terminal curbside traffic and the distribution characteristics is calibrated by using field data. Results indicate that after calibration the simulation accuracy is improved significantly and the errors are controlled within 10%.

    Study on air supply temperature during ground working process in aircraft cabin
    ZHANG Jihong,GONG Pijian,WANG Yang,JI Yuchu
    2016, 34(5):  26-30. 
    Asbtract ( 1971 )  
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    Cabin temperature is directly related to the cabin thermal comfort, which also has an important impact on the health of passengers and crew. Based on the main type of civil aircrafts: single-aisle aircrafts, a model containing 5 rows of seats and the human body model of the cabin environment are built. Different air temperature fields and flow fields of air temperature in the cabin are analyzed using FLUENT for aircraft ground operation in summer.In the case of full cabin attendant, temperatures on the heads, waists and ankles for both passengers and crew are selected and calculated. According to the predicted mean assessment, predicted percentage of dissatisfaction and the results of MATLAB, the suitable temperature range of cabin air supply are obtained. Meanwhile the cabin temperature field is analyzed and the local thermal comfort of passengers and crew are investigated,providing reference and a theoretical basis for aircraft ground air conditioning operating, and setting domestic quality standards of aircraft cabin environment.

    Engineering and Technology
    Influence of GFRP laminate‘s scarf repair parameters on its tensile properties
    LU Pengcheng, WANG Hongyang, LI Na, Su Jingxin
    2016, 34(5):  31-34. 
    Asbtract ( 2067 )  
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    Scarf repair approach is usually adopted to deal with a typical damage in GFRP (glass fiber reinforce polymer)laminate on a civil aviation aircraft. A systematic research is conducted on the influence of scarf repair key parameters such as step ratio, surface roughness and curing temperature upon its tensile properties. Experimental results reveal that scarf repair approach has a significant changing effect on the mechanical properties of GFRP laminated plate structure. Along with the increase of step ratio (from 1:10 to 1:60), the tensile strength appears a trend of decrease following an initial increase. When step ratio is 1:40, the tensile strength reaches its peak, with a tensile strength retention rate of 51%. In the case of 1:40 step ratio, the tensile strength of repair specimen increases with an intensity of roughness on the surface of junction. Meanwhile, with the increase of curing temperature, tensile strength also presents a trend of increase after a decrease and the tensile strength of repair specimen reaches its maximum when the temperature is 250 ℉.

    Data model analysis of integrated logistics support standards in and abroad
    QING Guanghui, LI Wenzan, MA Chao
    2016, 34(5):  35-39,50. 
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    The standard of ILS (integrated logistics support)plays a very important role in the design, manufacture and maintenance of product. It is the key power to promote the development of all trades and professions, especially in aviation and aerospace industry. A comparative approach is used to analyze the development of MIL-STD-1388-2B, GJB 3837-99 and GEIA-STD-0007 standards. Research shows that GJB 3837-99, MIL-STD-1388-2B uses tree structure data model, GEIA-STD-0007 uses EXPRESS language and EXPRESS-G expression to establish data model. The GEIA-STD-0007 standard data model has great advantages in the establishment of database and electronic technical manual. Finally, in view of China爷s ILS research status, some suggestions are given on improvement of military standard GJB3837-99.

    Collaborative filtering recommendation algorithm based on network community partition
    HE Huaiqing, FAN Zhiliang, LIU Haohan
    2016, 34(5):  40-44. 
    Asbtract ( 1921 )  
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    In order to raise the accuracy and extensibility of collaborative filtering recommendation,a collaborative filtering recommendation based on network community is proposed. First, a network of users could be built by the metadata about friends. Then the network of users could be divided by community partition algorithm to make sure that the same community of users have similar interests. The nearest neighbour set of target users are found by users of the same community. Finally, scores of target users are forecasted according to neighbour users'scoring to unknown projects. Results show that when the number of neighbours is less than 27, the accuracy got by the proposed algorithm is better than the algorithm based on user fuzzy clustering.

    Mobile honey pot design and implementation
    XIE Lixia, WANG Chong
    2016, 34(5):  45-50. 
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    Aiming at the increasing attacks to intelligent mobile terminals,MHP (mobile honeypot)is proposed to decoy,capture and analyze malwares. MHP contains three kernel modules: the decoy module creates fraudulent environment, the malicious behavior capture module catches malicious behaviors through monitoring communication port, scanning system memory and identifying sensitive permissions and the malicious data analyzing module indentifies the types of security threats. Results show that MHP can capture malicious behavior effectively and is suitable for deploying on mobile terminals.

    Management Science
    Airport cargo forecasting based on SARIMA and RBF neural network
    XING Zhiwei, LI Xuezhe, LUO Qian, FENG Wenxing, BAI Nan, PAN Ye, LUO Pei
    2016, 34(5):  51-55. 
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    The model of integrated seasonal ARIMA and RBF neural network (SARIMA-RBF) is proposed to solve the problem that airport cargo forecasting accuracy can not meet the actual operation of the airport. In the SARIMARBF,the first use of seasonal ARIMA is to forecast the linear part of airport cargo, and then to forecast the nonlinear part of airport cargo with RBF neural network, finally the nonlinear forecasting result is taken as the compensation of linear forecasting result to get the final forecasting result. Experimental results show that the new model can be combined with respective advantages of seasonal ARIMA and RBF neural network. The new model compared with single seasonal ARIMA model and single RBF neural network model forecasting accuracy are improved by 6.30% and 3.32%; and its forecasting accuracy can meet the actual operation of the airport.

    Empirical study on coordinated development of airport industry and national economy in China
    LI Guodong, LI Xiaojin
    2016, 34(5):  56-59. 
    Asbtract ( 1963 )  
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    The airport industry and GDP data between 1990 and 2014 in China are selected, furthermore the coordinated development between airport industry and national economy is studied with Grainger causality test. Empirical study results show that the development of airport industry of China is still lack of obvious spillover effects,airport industry development in China get more benefit from national economy especially from the place where the airport locates, as well as the change of China's airport passenger throughput and cargo throughput volume.Conversely, China airport industry is more prone to influence national economy in places with airport .

    Education Research
    Conception of comparison and unification of civil aviation terms on both sides of Taiwan straits
    MA Shizhong, WEI Xiongzhi, HU Jiasheng, SUN Hui, MA Lei
    2016, 34(5):  60-64. 
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    The discrepancies of civil aviation terms caused by a variety of reasons obstruct the communication, connection and coordination in science and technology and development in civil aviation industries between mainland and Taiwan. The comparison and unification of civil aviation terms on both sides is a basic research work to promote the development of civil aviation industry. Based on the documentations in technology, economic and law are issued by ICAO, the edition and publishment of A copy of compared terms in civil aviation on both sides and A copy of unified terms in civil aviation on both sides is a transition process and necessary way from 'seek common ground while reserving differences'to 'turn differences into interlink', and then further to 'turn differences into same'.