[1]YIP L.Analysis and Modeling of Planetary Gearbox Vibration Data for Early Fault Detection [D].Toronto:University of Toronto,2011.
[2]孙灿飞,王友仁.直升机行星传动轮系故障诊断研究进展[J].航空学报,2017,38(7):106-119.
SUN Canfei,WANG Youren.Advance in the Study on Fault Diagnosis of Helicopter Planetary Gears[J].Acta Aeronautica et Astronautica Sinica,2017,38(7):106-119.
[3]LIU W Y,ZHANG W H,HAN J G,et al. A New Windturbine Fault Diagnosis Method Based on the Local Mean Decomposition[J].Renewable Energy,2012,48(6):411-415.
[4]祝文颖,冯志鹏.基于改进经验小波变换的行星齿轮箱故障诊断[J].仪器仪表学报,2016,37(10):2193-2201.
ZHU Wenying,FENG Zhipeng.Fault Diagnosis of Planetary Gearbox Based on Improved Empirical Wavelet Transform[J].Chinese Journal of Scientific Instrument,2016,37(10):2193-2201.
[5]李永龙,邵忍平,薛腾.基于小波神经网络的齿轮系统故障诊断[J].航空动力学报,2010,25(1):234-240.
LI Yonglong,SHAO Renping,XUE Teng,et al.Gear Fault Diagnosis Based on Wavelet and Neural Network[J].Journal of Aerospace Power,2010,25(1):234-240.
[6]徐玉秀,赵晓清,杨文平,等.多参数与多测点信息融合的行星轮故障诊断[J].仪器仪表学报,2014,35(8):1789-1795.
XU Yuxiu,ZHAO Xiaoqing,YANG Wenping,et al.Planetary Gear Fault Diagnosis Based on Information Fusion of Multi-parameters and Multi-points[J].Chinese Journal of Scientific Instrument,2014,35(8):1789-1795.
[7]LEI Yaguo,JIA Feng,LIN Jing,et al.An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning towards Mechanical Big Data[J].IEEE Transactions on Industrial Electronics,2016,63(5):3137-3147.
[8]雷亚国,贾峰,周昕,等.基于深度学习理论的机械装备大数据健康监测方法[J].机械工程学报,2015,51(21):49-56.
LEI Yaguo,JIA Feng,ZHOU Xin,et al.A Deep Learning-based Method for Machinery Health Monitoring with Big Data[J].Journal of Mechanical Engineering,2015,51(21):49-56.
[9]赵光权,葛强强,刘小勇,等.基于DBN的故障特征提取及诊断方法研究[J].仪器仪表学报,2016,37(9):1946-1953.
ZHAO Guangquan,GE Qiangqiang,LIU Xiaoyong,et al.Fault Feature Extration and Diagnosis Method Based on Deep Belief Nework[J].Chinese Journal of Scientific Instrument,2016,37(9):1946-1953.
[10]SUN Wenjun,SHAO Siyu,YAN Ruqiang.Induction Motor Fault Diagnosis Based on Deep Neural Network of Sparse Auto-encoder[J].Journal of Mechanical Engineering,2016,52(9):65-71.
[11]ZHANG Chong,SUN Jiahui,TAN K C.Deep Belief Networks Ensemble with Multi-objective Optimization for Failure Diagnosis[C]//IEEE International Conference on Systems,Man,and Cybernetics.Hong Kong,2015:32-37.
[12]LI Yongbo,YANG Yuantao,LI Guoyan,et al.A Fault Diagnosis Scheme for Planetary Gearboxes Using Modified Multi-scale Symbolic Dynamic Entropy and mRMR Feature Selection[J].Mechanical Systems & Signal Processing,2017,91:295-312.
[13]LAHIRI A,ROY A G,SHEET D,et al.Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography[C]// International Conference of the IEEE Engineering in Medicine and Biology Society.Lake Buena Vista,2016:1340-1343.
[14]ZHANG Chong,LIM Pin,QIN A K,et al.Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics[J].IEEE Transactions on Neural Networks & Learning Systems,2016,28(10):2306-2318.
[15]ZHANG Q,LI H.MOEA/D:a Multi-objective Evolutionary Algorithm Based on Decomposition[J].IEEE Transactions on Evolutionary Computation,2007,11(6):712-731.
[16]TING K M,WITTEN I H.Issues in Stacked Generalization[J].Journal of Artificial Intelligence Research,2011,10(1):271-289.
[17]BENGIO Y.Learning Deep Architectures for AI[J].Foundations & Trends in Machine Learning,2009,2(1):1-127.
[18]ERHAN D,BENGIO Y,COURVILLE A,et al.Why does Unsupervised Pre-training Help Deep Learning[J].Journal of Machine Learning Research,2010,11(3):625-660.
[19]VINCENT P,LAROCHELLE H,LAJOIE I,et al.Stacked Denoising Autoencoders:Learning Useful Representations in a Deep Network with a Local Denoising Criterion[J].Journal of Machine Learning Research,2010,11(12):3371-3408.
[20]LAWSON C J,HANSON R J.Solving Least Squares Problem[M].Philadephia:SIAM Publication,1995.
[21]KHAZAEE M,AHMADI H,OMID M,et al.Classifier Fusion of Vibration and Acoustic Signals for Fault Diagnosis and Classification of Planetary Gears Based on Dempster-shafer Evidence Theory[J].Journal of Process Mechanical Engineering,2014,228(1):21-32.
[22]LIU Zhiliang,QU Jian,ZUO Ming,et al.Fault Level Diagnosis for Planetary Gearboxes Using Hybrid Kernel Feature Selection and Kernel Fisher Discriminant Analysis[J].The International Journal of Advanced Manufacturing Technology,2013,67(5/8):1217-1230. |