飞机导线故障诊断与定位方法研究
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摘要
随着我国民航运输事业发展的需要,现代飞机装备逐渐向大规模、复杂化发展。导线是飞机电气系统的重要装置,连接于各种用电设备之间,承担了传递动力电源的任务,其性能好坏是影响用电设备稳定工作和飞机安全飞行的重要因素。硬性故障(短路故障和断路故障)和软性故障(磨损故障)是飞机导线的典型故障,会导致信号传输不正常、指示仪表不稳定、操控机械不工作、引发飞机火灾等后果。因此,为了保证飞机的安全性和持续适航性,导线故障诊断与定位是提高民航机务维修质量和效率的一项重要内容。开展本课题的研究,对于跟踪国际民航研究热点、提高我国民航科研水平具有促进作用。
     论文在目前国内外应用反射测量原理的飞机导线故障诊断与定位技术研究现状的基础上,首先研究了飞机导线的物质特性和电气特性,给出了导线物质结构的变化对信号在导线中传播过程的影响规律,研究了信号的传播速度与其频率特性、导线的结构特性、材料特性和温度特性之间的关系,给出了确定信号传播速度的依据。
     然后,以飞机导线的短路故障和断路故障为研究对象,目的在于寻求一种控制方法能够尽可能地提高应用时域反射测量原理进行故障诊断与定位的精度。采用了小波包变换算法对故障点的时域反射信号进行降噪处理,抑制了故障测试系统受到电磁信号干扰的影响。采用了基于偏最小二乘回归分析算法和互相关算法的故障定位方法,确定了入射信号与反射信号的时间间隔,实现了导线硬性故障的精确定位。
     其次,针对飞机导线磨损故障反射信号微弱,不易采用时域反射测量原理诊断与定位的问题,提出了应用时域-频域联合反射测量原理的飞机导线磨损故障诊断与定位方法。该方法通过发射一个线性调频信号和高斯包络组成的包含时域和频域信息的入射信号,得到故障点的反射信号。再采用分数阶小波包变换算法对时域-频域反射信号进行噪声抑制,通过设计入射信号与反射信号的互相关函数,解决了导线软性故障的定位问题。
     最后,通过设计以工控机为控制核心、以LabVIEW为驱动软件的飞机导线硬性故障和软性故障诊断与定位功能于一体的测试系统,实现了入射信号参数发射、导线数据信息提取、反射信号降噪处理和故障诊断与定位整个过程的自动完成。实验结果验证了所提出的方法在飞机导线的硬性故障和软性故障诊断与定位方面的有效性和准确性。
With the development of Chinese civil aviation transport service, the modern aircraftequipment has gradually improved to be large-scale and complicated. The wire is animportant device of the aircraft electrical system, which connects the various electricalequipments together and transfers the electrical signals. That its performance is good orbad directly influences the stability of the electrical equipment and the security of theaircraft flight. The short circuit fault, the open circuit fault and the wear fault are thetypical faults of the aircraft wire and will cause that the signal transmission to beabnormal, the indicating instrument to be instable, the mechanical control to be inactiveand the aircraft to be ignitable. Therefore, in order to ensure the safety and continuousairworthiness of the aircraft, the wire fault diagnosis and localization is an importantcontent to improve the quality and efficiency of the civil aviation maintenance repair. Thefunction of this research task is to track the research topics of the international civilaviation and improve the scientific research level of Chinese civil aviation administration.
     In this paper, in the first place, the material and electrical properties of the wire arestudied based on the thorough research of the reflection technique of the fault diagnosisand localization of the aircraft wire. The rule of the signal in the wire influenced by thevariation of the material structure is put forward. And the relationships between thefrequency of the signal, the structure characteristics of the wire, the material properties ofthe wire, the circumstance temperature and the propagation velocity of the signal arestudied separately. The propagation velocity of the signal is determined.
     In the second place, in order to improve the accuracy received by the short circuitfault and the open circuit fault diagnosis and localization of the aircraft wire based on thetime domain reflection measurement principle, a control method is proposed. The waveletpacket transform algorithm is used to denoise the reflected signal in order to suppress theelectromagnetic interference of the measuring environment. By making use of themethods of the partial least-squares regression analysis algorithm and thecross-correlation algorithm respectively, the time interval of the incident signal and the reflected signal is identified and the accurate position of the wire hard fault is obtained.
     In the third place, due to the reflected signal of the wear fault of the aircraft wire istoo weak to detect using the time domain reflection measurement principle, so thetime-frequency combined domain reflection measurement method is proposed todiagnose and locate the wear fault. By emitting an incident signal in the time-frequencycombined domain which is composed of a linear frequency modulation signal and agaussian envelope, the reflected signal of the wear fault is obtained. The fractionalwavelet packet transform algorithm is used to denoise the reflected signal. Then thecross-correlation function of the incident signal and the reflected signal is designed tolocate the soft fault of the aircraft wire.
     In the last place, the wire fault diagnosis and localization system is designed, ofwhich the industrial control computer is the control core and the LabVIEW is the driversoftware. The whole process of transmitting the incident signal, searching the wire data,denoising the reflected signal, diagnosing and locating the fault is accomplishautomatically. The experiment results show that the proposed methods to diagnose andlocate the hard fault and the soft fault of the aircraft wire are effective and accurate.
引文
[1]陈新锋,杨海涛,韦艺.中国民航维修系统资源分析报告[J].中国民用航空,2012,137(5):11-14.
    [2]张波.成都管制空域扇区优化方案及评价系统设计[D].成都:电子科技大学软件工程学科硕士学位论文,2011:1.
    [3] Singer Ch, Guernsey C, Gousy J, et al. Aircraft Electrical Power Systems and NonlinearDynamic Loads[J]. SAE International Journal of Aerospace,2012,5(2):447-454.
    [4]张宏涛,王仲生.飞机电气系统故障诊断技术新进展[J].航空制造技术,2012(20):66-69.
    [5]马银龙,尹航,柯栋梁.飞机用无刷直流电动机系统仿真分析[J].微特电机,2011(9):10-12,33.
    [6] Cupertino F, Lavopa E, Zanchetta P, et al. Running DFT-based PLL Algorithm for Frequency,Phase, and Amplitude Tracking in Aircraft Electrical Systems[J]. IEEE Transactions onIndustrial Electronics,2011,58(3):1027-1035.
    [7]张俊民,周小猛,魏娟,等.基于小波变换的导线绝缘故障定位方法[J].电工技术学报,2012,27(5):99-104.
    [8] Mei Zh P, Li Q, Wen J Q, et al. Research on Optimization of Wiring Paths in Airplane HarnessProcess[C].2012IEEE International Conference on Cyber Technology in Automation, Control,and Intelligent Systems. United States: IEEE Computer Society,2012:485-488.
    [9] Yuan K, Yu Y F. Aircraft Cable Fault Location System based on Principle of RegressionAnalysis[C]. The5th International Conference on Computer Science and Education. UnitedStates: IEEE Computer Society.2010:1226-1229.
    [10] Shi X D, Zheng J Zh, Jing T, et al. Design of Aircraft Cable Intelligent Fault Diagnosis andLocation System based on Time Domain Reflection[C].20108th World Congress onIntelligent Control and Automation. United States: Institute of Electrical and ElectronicsEngineers Inc.,2010:5856-5860.
    [11] Nve X, Zan M, Yi T. Selection of Wiring Environment and Failure Rate Comparison Analysisin Aircraft Wiring Risk Assessment[J]. Procedia Engineering,2011,14:428-432.
    [12] National Transportation Safe Board. Aircraft Accident Report, in-flight Breakup over theAtlantic Ocean, TWA Flight800Boeing747-131, N93119near East Moriches, New York17July1996[R]. NTSB/AAR-00/03, Washington, DC,23August2000.
    [13] Loeb B. Aging Aircraft Wiring[R]. Subcommittee on Oversight, Investigations and EmergencyManagement Committee on Transportation and Infrastructure House of Representatives,September1999.
    [14] Gerden V, Foot J, Poole M. Swissair Flight111: Investigation Overview[J]. ISASI forum,2002,10(11):89-97.
    [15]魏巍,谢明立,姚红宇,等.飞机电气事故中铜导线一次短路熔珠与二次短路熔珠金相组织分析[D].2006年中国机械工程学会年会暨中国工程院机械与运载工程学部首届年会论文集,2006,11:11-17.
    [16] Vetter B. Smooth Surface Composite Insulation Wiring[J]. SAE International Journal ofAerospace,2012,5(2):590-594.
    [17] Parkey Ch, Hughes C, Locken N. Analyzing Artifacts in the Time Domain Waveform to LocateWire Faults[J]. IEEE Instrumentation and Measurement Magazine,2012,15(4):16-21.
    [18] Shi X D, Zhang L, Jing T, et al. Research of Aircraft Cable Fray Fault Detecting Method basedon Hilbert Huang Transformation[C].20108th World Congress on Intelligent Control andAutomation. United States: Institute of Electrical and Electronics Engineers Inc.,2010:6988-6992.
    [19] Jing T, Zhang L, Shi X D, et al. Research of Aircraft Cable Fault Detecting Method based onHilbert Huang Transformation[J]. Advanced Materials Research,2011,214:138-143.
    [20] Griffiths L, Parakh R, Furse C, et al. The Invisible Fray: A Critical Analysis of the Use ofReflectometry for Fray Location[J]. IEEE Journal of Sensors,2006,6(3):697-701.
    [21] Muja O, Lamper D. Automated Fault Isolation of Intermittent Wiring/Conductive Path SystemsInside Weapons Replaceable Assemblies[J]. SAE International Journal of Aerospace,2012,5(2):579-589.
    [22]廖向红,王兵. A310飞机C检电气故障排故浅析[J].航空维修与工程,2009(5):90-91.
    [23] Sivaiah A. Innovative Bracket Design Concepts for the Installation of Aircraft Systems[J].Journal of Aerospace Technology and Management,2012,4(3):289-295.
    [24] Furse C. Reflectometry for Structural Health Monitoring[J]. Lecture Notes in ElectricalEngineering,2011(96):159-185.
    [25] Brown M, Gau F. Wire Integrity Programs and Aging Aircraft Sustainment[R]. The Joint5thNASA/FAA/Dod Conference on Aging Aircraft, July2001.
    [26]周凯旋,陈新锋,杨海涛,等.中国民航维修系统资源分析报告(2009)[N].中国民航报,2010-03-16.
    [27] Captain J, Cox M. Reducing the Risk of Smoke and Fire in Transport Airplanes: Past History,Current Risk and Recommended Mitigations[R]. The Joint9th NASA/FAA/Dod Conference onAging Aircraft, March2006.
    [28] Wang L, Su D L, Xie Sh G, et al. Modeling of Electromagnetic Environment and RadiationDistribution Analysis for Aircraft Approaching and Landing[J]. Journal of Beijing Universityof Aeronautics and Astronautics,2012,38(10):1369-1374.
    [29]王海青.电磁辐射环境研究[J].航空电子技术,2001,32(1):29-34.
    [30] Yi L. Control of the Flight Vehicle Cable over Wide Spectrum Radiation Effects SimulationExperiment Research[J]. Advanced Materials Research,2012,510:141-146.
    [31] Cao Y N, Liu G J. Aircraft Wiring Fault Evaluation based on Modeling and ParameterIdentification[C].2011IEEE International Conference on Mechatronics and Automation.United States: IEEE Computer Society,2011:1969-1974.
    [32]徐睿,韦克平.测井电缆通信系统模型及仿真[J].电子测量技术,2005(1):62-64.
    [33] Ramanathan T. Aging Characterization of Polymeric Insulation in Aircraft Wiring viaImpedance Spectroscopy[R]. The Joint7th NASA/FAA/Dod Conference on Aging Aircraft,September2003.
    [34] Griffiths L A, Parakh R, Furse C. The Invisible Fray: A Critical Analysis of the Use ofReflectometry for Fray Location[J]. IEEE Sensors Journal,2006,6(3):697-706.
    [35] Doorn E, Tolani D, Lonske B. Detection and Localization of Chafes in Electrical WiringInterconnection Systems[R]. The11th Joint NASA/FAA/Dod Conference on Aging Aircraft,April2008.
    [36] Chet L, Nagoti K, Chung Y Ch, et al. Fault Location on Branched Wire Networks[R]. The8thJoint NASA/FAA/Dod Conference on Aging Aircraft, February2005.
    [37] Furse C. Fault Location on Live Wire Networks[R]. The7th Joint NASA/FAA/DodConference on Aging Aircraft, September2003.
    [38] Yong J Sh. Theory and Application of Time-frequency Analysis to Transient Phenomena inElectric and other Physical Systems[J]. The University of Texas at Austin,2004:108-135.
    [39] Tsai P, Chung Y,Lo C, et al. Mixed Signal Reflectometer Hardware Implementation for WireFault Location[J]. IEEE Sensors Journal,2005,5(6):1479-1482.
    [40]魏娟,原野,张俊民.飞机中故障导线特征阻抗的计算与分析[J].民用飞机设计与研究,2009增刊:163-160.
    [41] Shi X D, Zhang Zh Zh. Design and Realization of Aircraft Engine Wire Fault DetectionDatabase[J]. Advanced Materials Research,2011,159:274-278.
    [42]荆涛,张珍珍.飞机发动机导线连接关系数据库的设计与开发[J].测控技术,2011,30(7):66-69.
    [43]毕大园,李秋艳,敖凯军.飞机电缆连接关系数据库的设计与实现[J].计算机工程与设计,2006,27(7):1223-1226,1244.
    [44]籍颖,王藏柱,张军伟. VB数据库技术在输电线设计中的应用[J].计算机仿真,2003,20(6):91-92.
    [45]程文,孙金立,张海兵,等.基于LabVIEW的航空电缆故障检测系统[J].计算机测量与控制,2009,17(3):446-448.
    [46] Stevenson K, Bequette M. Statistical Analysis for Automated Wire Test Operations[J].Evaluation Engineering,2006,45(6):20-25.
    [47]高淑萍,宋国兵,焦在滨,等.双端电流时域故障定位[J].西安交通大学学报,2009,43(4):101-105.
    [48]王波,郑煜,陈晓刚.考虑TA饱和的双端故障定位新方法[J].机电工程,2010,27(2):104-106.
    [49]赵伟,王波.基于双端同步电压相量的故障测距新算法[J].机电工程,2009,26(5):24-26.
    [50]郑秀玉,丁坚勇,黄娜.输电线路单端故障定位的阻抗-行波组合算法[J].电力系统保护与控制,2010,38(6):18-21.
    [51] Zheng X Y, Li X M, Ding J Y, et al. Study on Impedance-traveling Wave AssembledAlgorithm in One-terminal Fault Location System for Transmission Lines[C]. The3rdInternational Conference on Deregulation and Restructuring and Power Technologies. UnitedStates: Institute of Electrical and Electronics Computer Society,2008:1723-1726.
    [52] Bouchekara H, Smail M K, Dahman G. Diagnosis of Multi-fault Wiring Network UsingTime-domain Reflectometry and Electromagnetism-like Mechanism[J]. Electromagnetics,2013,33(2):131-143.
    [53] Zhang X L, Zhang M M, Liu D M. Reconstruction of Faulty Cable Network UsingTime-domain Reflectometry[J]. Progress in Electromagnetics Research,2013,136:457-478.
    [54] Song J H, Tao Zh Y, Zhang G H, et al. Velocity Frequency Characteristics of Time DomainReflectometry Cable Length Measurement System[J]. Advances in Intelligent and SoftComputing,2012,160(2):297-302.
    [55] Cataldo A, Tarricone L, Vallone M, et al. Uncertainty Estimation in SimultaneousMeasurements of Levels and Permittivities of Liquids Using TDR Technique[J]. IEEETransactions on Instrumentation and Measurement.2008,57(3):454-466.
    [56]张俊民,魏娟,谢华博,等.基于时域反射法的航空导线绝缘故障检测与分析[J].航空学报,2009,30(4):706-712.
    [57] Cataldo A, Tarricone L, Attivissimo F, et al. A TDR Method for Real-Time Monitoring ofLiquids[J]. IEEE Transactions on Instrumentation and Measurement.2007,56(5):1616-1625.
    [58] Waddoups B, Furse C, Schmidt M. Analysis of Reflectometry for Detection of Chafed AircraftWiring Insulation[R]. The Joint5th NASA/FAA/Dod Conference on Aging Aircraft, July2001.
    [59] Lo C, Fures C. Use of in Situ Sensors for Wire Fault Prognostics[R]. The11th JointNASA/FAA/Dod Conference on Aging Aircraft, April2008.
    [60] Doorn E, Tolani D. Radical Extension of Time Domain Reflectometry for Detection andLocation of Flaws in Aircraft Wiring Systems[R]. The Joint9th NASA/FAA/Dod Conferenceon Aging Aircraft, March2006.
    [61]刘科,田书林,肖寅东,等.宽脉冲时域反射网络线缆测试方法研究[J].电子科技大学学报,2009,38(6):975-978.
    [62]黄飞龙,黄宏智,李昕娣,等.基于频域反射的土壤水分探测传感器设计[J].传感技术学报,2011,24(9):1367-1370.
    [63] Naik S, Furse C M, Behrouz F B. Multicarrier Reflectometry[J]. IEEE Sensors Journal.2006,6(3):812-818.
    [64]荆涛,张璐,石旭东,等.一种新颖的飞机电缆故障类型诊断方法[J].自动化与仪表,2009(10):52-55.
    [65] Tsai P J, Lo C, Chung Y C, et al. Mixed-Signal Reflectometer for Location of Faults on AgingWiring[J]. IEEE Sensors Journal.2005,5(6):1479-1482.
    [66]罗云林,吴林.航空多芯电缆检测系统设计[J].控制工程,2009,16(3):342-345.
    [67]李苹慧,林辉.航空整机电缆自动测试系统的设计[J].计算机测量与控制,2010,18(4):789-791.
    [68] Hoertz F, Koenig D. Studies of Early and Late Degradation Phase of Wire Insulation forAircraft Applicationgs[R]. The Joint5th NASA/FAA/Dod Conference on Aging Aircraft, July2001.
    [69] Yan W, Goebel K F, Evers N. Algorithms for Partial Discharge Diagnostics Applied to AircraftWiring[R]. The Joint8th NASA/FAA/Dod Conference on Aging Aircraft, January2005.
    [70] Saha S, Xu Z, Koltsov D, et al. Health Monitoring of Aircraft Wiring by Acoustic Method[C].2009IEEE Aerospace Conference,2009:1-10.
    [71] Yong J Sh, Jin B P, Edward P. Joint Time-frequency Reflectometry for Diagnostics of CoaxialCables[R]. The Joint8th NASA/FAA/Dod Conference on Aging Aircraft, January2005.
    [72] Yong J Sh, Choe T, Song E, et al. Application of Time-Frequency Domain Reflectometry forDetection and Localization of a Fault on a Coaxial Cable[J]. IEEE Transactions onInstrumentation and Measurement,2005,54:2493-2499.
    [73] TokSon Ch, Yong J Sh, Jin B P. The Load Impedance Measurement in the Time-FrequencyDomain Reflectometry System[C]. IEEE Instrumentation and Measurement TechnologyConference,2005:497-500.
    [74] Choe T, Hong Ch Y, Park J B, et al. Implementation of a Time-Frequency DomainReflectometry System with PXI Platform for a Coaxial Cable[C]. The Instrumentation andMeasurement Technology Conference,2004:964-968.
    [75]唐泽洋,姜伟,姚帅,等.电力电缆故障数据的统计模型分析[J].武汉大学学报(工学版),2012,45(5):667-672.
    [76]蔡秀雯,杨以涵,田洪迅,等.基于脉冲发射原理的配电网故障定位方法的研究[J].继电器,2007,35(2):3-5.
    [77] Qiu Zh, Wang Zh. Research on Analytical Methods for Fault Symptom in Aircraft ElectricalSystem[C].2012IEEE International Conference on Computer Science and AutomationEngineering. United States: IEEE Computer Society,2012:602-604.
    [78]张晓斌,程玺菱,雷涛.基于PXI总线的飞机供电测试系统设计[J].计算机测量与控制,2011,19(5):1024-1029.
    [79] Areerak K N, Asher G M, De Lillo L, et al. Stability Study for a Hybrid AC-DC More-electricAircraft Power System[J]. IEEE Transactions on Aerospace and Electronic Systems,2012,48(1):329-347.
    [80] Griffo A, Wang J B. Large Signal Stability Analysis of 'more Electric' Aircraft Power Systemswith Constant Power Loads[J]. IEEE Transactions on Aerospace and Electronic Systems,2012,48(1):477-489.
    [81]朱新宇,王有隆.民航飞机电气仪表及通信系统[M].成都:西南交通大学出版社,2006:3.
    [82] Du W J, Zhang J M, Zhang Y, et al. Transient Load Response Analysis of DC-DC Converterwith Constant Power Load and Stability Prognosis of Cascaded System[J]. Transactions ofChina Electrotechnical Society,2011,26(1):83-90.
    [83] Fernando W U N, Barnes M, Marjanovic O. Direct Drive Permanent Magnet Generator FedAC-DC Active Rectification and Control for More-electric Aircraft Engines[J]. IET ElectricPower Applications,2011,5(1):14-27.
    [84] EHJ.帕利特.飞机电气系统[M].北京:国防工业出版社,1985:133.
    [85] Guo Q. Novel Ppproach to Risk Assessment of Aircraft Electrical Wiring InterconnectSystem[J]. Journal of Aircraft,2011,48(6):1888-1893.
    [86]陈铮,苏进喜,吴欣荣,等.基于分布参数模型的高压输电线路故障测距算法[J].电网技术,2000,24(11):31-33.
    [87]毛鹏,张兆宁,苗友忠,等.基于双端电气量的输电线路故障测距的新方法[J].继电器,2000,28(5):24-27,46.
    [88]康峰,王立文.飞机导线故障定位仪设计与实现[J].中国民航学院学报,2002,20(6):6-10.
    [89]宋建辉,袁峰,丁振良.时域反射电缆测长中的波速特性[J].哈尔滨工业大学学报,2011,43(4):58-62.
    [90] Cataldo A, Tarricone L, Vallone M, et al. Uncertainty Estimation in SimultaneousMeasurements of Levels and Permittivities of Liquids Using TDR Technique[J]. IEEETransactions on Instrumentation and Measurement.2008,57(3):454-466.
    [91] Lin C P. TDR as Geo-Nerve: A Slope Monitoring System Example[J]. Geotechnical News.2009,27(1):38-40.
    [92] Cataldo A, Tarricone L, Vallone M, et al. An Assessment on the Accuracy of Time-DomainReflectometry for Measuring Level and Permittivity of Liquids[J]. Instrumentation andMeasurement Technology Conference.2006:2332-2337.
    [93] Skierucha W. Accuracy of Soil Moisture Measurement by TDR Technique[J]. InternationalAgrophysics.2004,4(4):417-426.
    [94]张正团,文锋,徐丙垠.基于小波分析的电缆故障测距[J].电力系统自动化,2003,27(1):49-52.
    [95]王佩丽,彭敏放,杨易旻,等.应用模糊最优小波包LS-SVM的模拟电路诊断[J].仪器仪表学报,2010,31(6):1282-1288.
    [96]范显峰,蒋兴渭.基于小波包变换的信号去噪方法研究[J].哈尔滨工业大学学报,2003,35(7):809-811.
    [97]高英杰,孔祥东.基于小波包分析的液压泵状态监测方法[J].机械工程学报,2009,45(8):80-88.
    [98] Pradhan P S, King R L, Younan N H, et al. Estimation of the Number of Decomposition Levelsfor a Wavelet-Based Multiresolution Multisensor Image Fusion[J]. IEEE Transactions onGeoscience and Remote Sensing.2006,44(12):3674-3686.
    [99] Zhang Q, Chen W J, Tang Y. Method of Choosing the Adaptive Level of Discrete WaveletDecomposition to Eliminate Zero Components[J]. Optics Communications.2009,28(5):778-785.
    [100]张峰,梁军,张利,等.奇异值分解理论和小波变换结合的行波信号奇异点检测[J].电力系统自动化.2008,32(20):57-60.
    [101]史贤俊,林飒,李瑞亮.基于最优小波包基的信号去噪算法及其应用[J].海军航空工程学院学报,2006,21(5):506-509.
    [102] Schumann S, Nolte L P, Zheng G Y. Comparison of Partial Least Squares Regression andPrincipal Component Regression for Pelvic Shape Prediction[J]. Journal of Biomechanics,2013,46(1):197-199.
    [103] Esposito Vinzi V, Russolillo G. Partial Least Squares Algorithms and Methods[J]. WileyInterdisciplinary Reviews: Computational Statistics,2013,5(1):1-19.
    [104] Andries J P M, Heyden Y V, Buydens L M C. Predictive-property-ranked Variable Reductionin Partial Least Squares Modelling with Final Complexity Adapted Models: Comparison ofProperties for Ranking[J]. Analytica Chimica Acta,2013,760:34-45.
    [105]黄思齐.分数阶小波变换[J].测控技术,2009,28(2):12-16.
    [106] Dinc E, Demirkaya F, Baleanu D, et al. New Approach for Simultaneous Spectral Analysis ofa Complex Mixture using the Fractional Wavelet Transform[J]. Communications in NonlinearScience and Numerical Simulation,2010,15(4):812-818.
    [107] Huang Y. The Fractional Wave Packet Transform[J]. Multidimensional Systems and SignalProcessing,1998,4(9):399-402.
    [108] Widjaja J, Chuam P. Holographic particle tracking using Wigner-Ville distribution[J]. Opticsand Lasers in Engineering,2013,51(3):311-316
    [109] Li W ch, Li H, Liu Y Zh, et al. Fast parameters estimation of LFM signals via Radon-Wignertransform[J]. Journal of Information and Computational Science,2013,10(6):1585-1594.
    [110] Yang Sh Q, Liu B L, Pei Ch X. Research and Development of Virtual Instrument Model basedon Petri Net and Component Technology[J]. International Journal of Advancements inComputing Technology,2012,4(9):272-279.
    [111] Kaula R. Data Modeling of Knowledge Rules: An Oracle Prototype[J]. Journal of Software,2012,7(12):2857-2865.
    [112]蒋锡健,吴功平,肖晓晖,等.高压输电线路巡检数据库及其管理系统[J].机械与电子,2006(4):64-67.

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