[1]雷亚国, 何正嘉, 林京, 等.行星齿轮箱故障诊断技术的研究进展[J].机械工程学报, 2011, 47(19):59-67.
LEI Yaguo, HE Zhengjia, LIN Jing, et al.Research advances of fault diagnosis technique for planetary gearboxes[J].Journal of Mechanical Engineering, 2011, 47(19):59-67.
[2]CHAARI F, FAKHFAKH T, HADDAR M.Dynamic analysis of a planetary gear failure caused by tooth pitting and cracking[J].Journal of Failure Analysis and Prevention, 2006, 6(2):73-78.
[3]冯志鹏, 褚福磊.行星齿轮箱齿轮分布式故障振动频谱特征[J].中国电机工程学报, 2013, 33(2):118-125.
FENG Zhipeng, CHU Fulei.Vibration spectral characteristics of distributed gear fault of planetary gearboxes[J].Proceedings of the CSEE, 2013, 33(2):118-125.
[4]赵磊, 郭瑜, 伍星.基于窄带解调的行星齿轮箱故障特征提取[J].振动与冲击, 2018, 37(10):123-128.
ZHAO Lei, GUO Yu, WU Xing.Fault feature extraction of planetary gear-box based on the narrowband demodulation[J].Journal of Vibration and Shock, 2018, 37(10):123-128.
[5]贺东台, 郭瑜, 伍星, 等.基于自参考自适应消噪的行星轮轴承内圈故障特征提取[J].振动与冲击, 2018, 37(17):101-106.
HE Dongtai, GUO Yu, WU Xing, et al.Fault feature extraction for a planet gear’s bearing inner racebased on self-reference adaptive de-noising[J].Journal of Vibration and Shock, 2018, 37(17):101-106.
[6]GUO Y, ZHAO L, WU X, et al.Vibration separation technique based localized tooth fault detection of planetary gear sets: A tutorial[J].Mechanical Systems and Signal Processing, 2019, 129:130-147.
[7]张鲁洋, 秦波, 尹恒, 等.基于ELMD能量熵与AFSA-SVM的行星齿轮箱关键部件故障诊断研究[J].机械传动, 2018, 42(6):164-170.
ZHANG Luyang, QIN Bo, YIN Heng, et al.Fault diagnosis of planetary gearbox key component based ELMD energy entropy and AFSA-SVM[J].Mechanical Drive, 2018, 42(6):164-170.
[8]赵璐, 马野.基于一维卷积神经网络的齿轮箱故障诊断研究[J].测试技术学报, 2019, 33(4):302-306.
ZHAO Lu, MA Ye.Fault diagnosis based on one-dimension convolution neural network[J].Journal of Test and Measurement technology, 2019, 33(4):302-306.
[9]熊鹏, 汤宝平, 邓蕾, 等.基于动态加权密集连接卷积网络的变转速行星齿轮箱故障诊断[J].机械工程学报, 2019, 55(7):52-57.
XIONG Peng, TANG Baoping, DENG Lei, et al.Fault diagnosis for planetary gearbox by dynamically weighted densely connected convolutional networks[J].Journal of Mechanical Engineering, 2019, 55(7):52-57.
[10]罗嗣棂.基于长短时记忆神经网络的风电机组健康状态评估与预测研[D].北京:华北电力大学, 2019.
[11]SHI Z, SHI M, LI C.The prediction of character based on recurrent neural network language model[J].IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS), 2017, 1:613-616.
[12]ZHANG X, YIN F, ZHANG Y, et al.Drawing and recognizing chinese characterswith recurrent neural network[J].IEEE Transactions on Pattern Analysis & Machine Intelligence, 2018, 40(4): 849-862.
[13]GUO Liang, LI Naipeng, JIA Feng, et al.A recurrent neural network based health indicator for remaining useful life prediction of bearings[J].Neurocomputing, 2017, 240:98-109.
[14]GRAVES A.Generating sequences with recurrent neural networks[EB/OL].(2014-06-05)https://arxiv.org/pdf/1308.0850.
[15]ZHAO H, SUN S, JIN B.Sequential fault diagnosis based on LSTM neural network[J].IEEE Access, 2018,6:12929-12939.
[16]SONG H, DAI J, LUO L, et al.Power transformer operating state prediction method based on an LSTM network[J].Energies, 2018, 11(4): 1-15.
[17]NANDURI A, SHERRY L.Anomaly detection in aircraft data using recurrent neural networks (RNN)[J].2016 Integrated Communications Navigation and Surveillance (ICNS), 2016, 1-8.
[18]陈伟, 陈锦雄, 江永全, 等.基于RS-LSTM的滚动轴承故障识别[J].中国科技论文,2018,13(10):1134-1141.
CHEN Wei, CHEN Jinxiong, JIANG Yongquan, et al.Fault identification of rolling bearing based on RS-LSTM[J].China Sciencepaper, 2018, 13(10):1134-1141.
[19]MA X, TAO Z, WANG Y, et al.Long short-term memory neural network for traffic speed prediction using remote microwave sensor data[J].Transportation Research Part C-Emerging Technologies, 2015, 54:187-197.
[20]INALPOLAT M,KAHRAMAN A.A theoretical and experimental investigation of modulation sidebands of planetary gear sets[J].Journal of Sound and Vibration,2009,323(3/4/5):677-696.
[21]雷亚国, 汤伟, 孔德同, 等.基于传动机理分析的行星齿轮箱振动信号仿真及其故障诊断[J].机械工程学报, 2014,50(17):61-68.
LEI Yaguo, TANG Wei, KONG Detong, et al.Vibration signal simulation and fault diagnosis of planetary gearboxes based on transmission mechanism analysis[J].Journal of Mechanical Engineering, 2014, 50(17):61-68.
[22]冯志鹏, 褚福磊, 左明健.行星齿轮箱振动故障诊断方法[M].北京: 科学出版社, 2015.
[23]MEISINGSETH A.Demodulation techniques in gearbox diagnostics[C].Andreas Meisingseth,2012.
[24]刘倩楠, 郭瑜, 伍星.基于频移及谱线编辑的齿轮故障窄带解调分析方法[J].振动与冲击, 2015,34(16):38-42.
LIU Qiannan, GUO Yu, WU Xing.Gear fault analysis based on narrowband demodulation with frequency shift and spectrum edit[J].Journal of Vibration and Shock, 2015, 34(16):38-42.