Yaguo Lei / 雷亚国
Yaguo Lei / 雷亚国
Professor of Mechanical Engineering, State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University
Verified email at mail.xjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
A review on empirical mode decomposition in fault diagnosis of rotating machinery
Y Lei, J Lin, Z He, MJ Zuo
Mechanical systems and signal processing 35 (1-2), 108-126, 2013
10462013
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
F Jia, Y Lei, J Lin, X Zhou, N Lu
Mechanical Systems and Signal Processing 72, 303-315, 2016
7232016
Application of the EEMD method to rotor fault diagnosis of rotating machinery
Y Lei, Z He, Y Zi
Mechanical Systems and Signal Processing 23 (4), 1327-1338, 2009
4682009
An intelligent fault diagnosis method using unsupervised feature learning towards mechanical big data
Y Lei, F Jia, J Lin, S Xing, SX Ding
IEEE Transactions on Industrial Electronics 63 (5), 3137-3147, 2016
4352016
Condition monitoring and fault diagnosis of planetary gearboxes: A review
Y Lei, J Lin, MJ Zuo, Z He
Measurement 48, 292-305, 2014
4012014
A new approach to intelligent fault diagnosis of rotating machinery
Y Lei, Z He, Y Zi
Expert Systems with applications 35 (4), 1593-1600, 2008
3742008
Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs
Y Lei, Z He, Y Zi, Q Hu
Mechanical systems and signal processing 21 (5), 2280-2294, 2007
3652007
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Y Lei, N Li, L Guo, N Li, T Yan, J Lin
Mechanical Systems and Signal Processing 104, 799-834, 2018
3392018
Application of an improved kurtogram method for fault diagnosis of rolling element bearings
Y Lei, J Lin, Z He, Y Zi
Mechanical Systems and Signal Processing 25 (5), 1738-1749, 2011
3122011
A recurrent neural network based health indicator for remaining useful life prediction of bearings
L Guo, N Li, F Jia, Y Lei, J Lin
Neurocomputing 240, 98-109, 2017
2852017
Application of an intelligent classification method to mechanical fault diagnosis
Y Lei, Z He, Y Zi
Expert Systems with Applications 36 (6), 9941-9948, 2009
2322009
EEMD method and WNN for fault diagnosis of locomotive roller bearings
Y Lei, Z He, Y Zi
Expert Systems with Applications 38 (6), 7334-7341, 2011
2222011
Planetary gearbox fault diagnosis using an adaptive stochastic resonance method
Y Lei, D Han, J Lin, Z He
Mechanical Systems and Signal Processing 38 (1), 113-124, 2013
2112013
New clustering algorithm-based fault diagnosis using compensation distance evaluation technique
Y Lei, Z He, Y Zi, X Chen
Mechanical Systems and Signal Processing 22 (2), 419-435, 2008
2082008
A multidimensional hybrid intelligent method for gear fault diagnosis
Y Lei, MJ Zuo, Z He, Y Zi
Expert Systems with Applications 37 (2), 1419-1430, 2010
1972010
Gear crack level identification based on weighted K nearest neighbor classification algorithm
Y Lei, MJ Zuo
Mechanical Systems and Signal Processing 23 (5), 1535-1547, 2009
1972009
A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
F Jia, Y Lei, L Guo, J Lin, S Xing
Neurocomputing 272, 619-628, 2018
1722018
An improved exponential model for predicting remaining useful life of rolling element bearings
N Li, Y Lei, J Lin, SX Ding
IEEE Transactions on Industrial Electronics 62 (12), 7762-7773, 2015
1522015
Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs
Y Lei, MJ Zuo
Measurement Science and Technology 20 (12), 125701, 2009
1462009
A model-based method for remaining useful life prediction of machinery
Y Lei, N Li, S Gontarz, J Lin, S Radkowski, J Dybala
IEEE Transactions on Reliability 65 (3), 1314-1326, 2016
1392016
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