[1] |
王少萍. 大型飞机机载系统预测与健康管理关键技术[J].航空学报, 2014, 35(6):1459-1472. WANG S P. Prognostics and health management key technology of aircraft airborne system[J]. Acta Aeronautica et Astronautica, 2014, 35(6):1459-1472(in Chinese).
|
[2] |
孙雪, 马静华. 飞机全生命周期的大数据[J]. 大飞机, 2017(11):18-21. SUN X, MA J H. Big data in aircraft life cycle[J]. Jetliner, 2017(11):18-21(in Chinese).
|
[3] |
TOLLE K M, TANSLEY D, HEY A J G. The fourth paradigm:Data-intensive scientific discovery[J]. Proceedings of the IEEE, 2011, 99(8):1334-1337.
|
[4] |
CHEN Z S, YANG Y M, HU Z. A technical framework and roadmap of embedded diagnostics and prognostics for complex mechanical systems in prognostics and health management systems[J]. IEEE Transactions on Reliability, 2012, 61(2):314-322.
|
[5] |
BRYAN M, SANTANU D, KANISHKA B, et al. Discovering anomalous aviation safety events using scalable data mining algorithms[J]. Journal of Aerospace Information Systems,2013,10(10):467-475.
|
[6] |
MONROE G A, FREEMAN K, JONES K L. IT data mining tool uses in aerospace:NASA ARC-E-DAA-TN 4694[R]. Washington, D.C.:NASA, 2012.
|
[7] |
王文正, 郑鹍鹏, 陈功, 等. 数据挖掘技术在飞行试验数据分析和气动参数辨识中的应用研究[J].空气动力学学报, 2016,34(6):778-782. WANG W Z, ZHENG K P, CHEN G, et al. Application research of data-mining method to flight test data analysis and aerodynamic parameter identification[J]. Acta Aerodynamica Sinica, 2016,34(6):778-782(in Chinese).
|
[8] |
宋飞, 秦世引. 卫星姿态控制系统在轨实时健康评估[J]. 北京航空航天大学学报, 2014,40(11):1581-1588. SONG F, QIN S Y. On-orbit real-time health assessment of satellite attitude control system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014,40(11):1581-1588(in Chinese).
|
[9] |
陈龙志, 曾庆华, 贾涛. 基于健康行为模型的飞行器控制系统健康评估[J]. 航空计算技术, 2014,44(4):13-17. CHEN L Z, ZENG Q H, JIA T. Health assessment of flight control system based on health behavior model[J]. Aeronautical Computing Technique, 2014,44(4):13-17(in Chinese).
|
[10] |
FANG S, LIN T. Indoor location system based on discrimination-adaptive neural network in IEEE 802.11 environment[J]. IEEE Transactions on Neural Networks, 2008, 19(11):1973-1978.
|
[11] |
PAN J J, KWOK J T, YANG Q, et al. Multidimensional vector regression for accurate and low-cost location estimation in pervasive computing[J]. IEEE Transactions on Knowledge and Date Engineering, 2006, 18(9):1181-1193.
|
[12] |
陈淼. 基于多高斯混合模型的WLAN室内定位系统[J]. 华中科技大学学报(自然科学版), 2012, 40(4):67-71. CHEN M. WLAN indoor location system based on multi-Gaussian mixture model[J]. Journal of Huazhong University of Science & Technology (Natural Science Edition), 2012, 40(4):67-71(in Chinese).
|
[13] |
PECHT M. Prognostics and health management of electronics[M]. Hoboken:Wiley Online Library, 2008.
|
[14] |
何宇廷, 高潮, 安涛,等. 试验与服役数据融合的飞机结构安全寿命分析[J]. 空军工程大学学报, 2015, 16(1):1-5. HE Y T, GAO C, AN T. An analysis of safe-life for aircraft structure based on the fusion of test data and service data[J]. Journal of Air Force Engineering University (Natural Science Edition), 2015, 16(1):1-5(in Chinese).
|
[15] |
张良均. 数据挖掘:实用实例分析[M]. 北京:机械工业出版社, 2013. ZHANG L J. Data mining:Practical example analysis[M]. Beijing:Machinery Industry Press, 2013(in Chinese).
|
[16] |
张宇飞, 么子云, 唐松林, 等. 一种基于主成分分析和支持向量机的发动机故障诊断方法[J]. 中国机械工程, 2016, 27(24):3307-3311. ZHANG Y F, ME Z Y, TANG S L. An engine fault diagnosis method based on PCL and SVM[J]. China Mechanical Engineering, 2016, 27(24):3307-3311(in Chinese).
|
[17] |
房冠成, 吕震宙, 魏鹏飞. 结构系统可靠性及可靠性灵敏度分析的改进子集模拟法[J]. 航空学报, 2012, 33(8):1440-1447. FANG G C, LYU Z Z, WEI P F. Modified subset simulation method for reliability and reliability sensitivity analysis of structural system[J]. Acta Aeronautica et Astronautica Sinica, 2012, 33(8):1440-1447(in Chinese).
|
[18] |
张红旗, 邵晓东, 苏春, 等. 改进FMEA与故障传播模型混合故障诊断方法[J].机械科学与技术,2017, 36(1):23-28. ZHANG H Q, SHAO X D, SU C. Integrated fault diagnosis method based on improved FMEA and failure propagation model[J]. Mechanical Science and Technology for Aerospace Engineering,2017, 36(1):23-28(in Chinese).
|
[19] |
龙铭, 文章, 黄文艺, 等. 滚动轴承故障程度评估的AR-GMM方法[J].机械科学与技术,2016, 35(8):1183-1188. LONG M, WEN Z, HUANG W Y. Assessment of rolling bearing fault degree using AR-GMM[J]. Mechanical Science and Technology for Aerospace Engineering,2016, 35(8):1183-1188(in Chinese).
|
[20] |
李巍华, 戴炳雄, 张绍辉. 基于小波包熵和高斯混合模型的轴承性能退化评估[J]. 振动与冲击, 2013, 32(21):35-40. LI W H, DAI B X, ZHANG S H. Bearing performance degradation assessment based on Wavelet packet entropy and Gaussian mixture model[J]. Journal of Vibration and Shock, 2013, 32(21):35-40(in Chinese).
|
[21] |
JARDINE A K S, LIN D, BANJEVIC D. A review on machinery diagnostics and prognostics implementing condition-based maintenance[J]. Mechanical Systems and Signal Processing,2006,20(7):1483-1510.
|
[22] |
LIAO L, LEE J. A novel method for machine performance degradation assessment based on fixed cycle features test[J]. Journal of Sound and Vibration,2009,326(3-5):894-908.
|
[23] |
龚学兵, 王日新, 徐敏强. 飞轮传感器的高斯混合模型故障检测方法[J]. 宇航学报, 2015,36(6):699-705. GONG X B, WANG R X, XU M Q. Gaussian mixed model-based fault detection method for flywheel sensor[J]. Journal of Astronautics, 2015,36(6):699-705(in Chinese).
|
[24] |
汪群峰, 金佳佳, 米传民, 等. 基于灰色关联深度系数的评价指数客观权重极大熵配置模型[J]. 控制与决策, 2013, 28(2):235-240. WANG Q F, JIN J J, MI C M. Maximum entropy configuration model of objective index weight based on grey correlation deep coefficient[J]. Control and Decision, 2013, 28(2):235-240(in Chinese).
|
[25] |
崔建国, 林泽力, 吕瑞, 等. 基于模糊灰色聚类和组合赋权法的飞机健康状态综合评估方法[J]. 航空学报, 2014,35(3):764-772. CUI J G, LIN Z L, LYU R, et al. Comprehensive assessment method of aircraft health status based on fuzzy gray clustering and combination weighting[J]. Acta Aeronautica et Astronautica Sinica, 2014,35(3):764-772(in Chinese).
|