RESEARCH INTERESTS
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- Health condition monitoring and intelligent maintenance
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- Big-data era intelligent fault diagnostics and prognostics
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- Reliability evaluation and remaining useful life prediction
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- Mechanical signal analysis and processing
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- Mechanical system dynamic modeling
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RESEARCH MONOGRAPHS
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- Yaguo Lei, Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery. Elsevier Butterworth-Heinemann, Oxford, 2016.
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SELECTED PUBLICATIONS
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- Yaguo Lei, Bin Yang, Xinwei Jiang, Feng Jia, Naipeng Li, Asoke K. Nandi, Applications of machine learning to machine fault diagnosis: A review and roadmap [J]. Mechanical Systems and Signal Processing, 2020, 138: 106587.
- Yaguo Lei, Naipeng Li, Liang Guo, Ningbo Li, Tao Yan, Jing Lin, Machinery health prognostics: A systematic review from data acquisition to RUL prediction [J]. Mechanical Systems and Signal Processing, 2018, 104: 799-834.
- Zongyao Liu, Yaguo Lei, Huan Liu, Xiao Yang, Wenlei Song, A phenomenological model for investigating unequal planet load sharing in epicyclic gearboxes [J]. Mechanical Systems and Signal Processing, 2020, 135: 106414.
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- Bin Yang, Yaguo Lei, Feng Jia, Saibo Xing, An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings [J]. Mechanical Systems and Signal Processing, 2019, 122:692-706.
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- Zijian Qiao, Yaguo Lei, Naipeng Li, Applications of stochastic resonance to machinery fault detection: A review and tutorial [J]. Mechanical Systems and Signal Processing, 2019, 122:502-536.
- Biao Wang, Yaguo Lei, Naipeng Li, Ningbo Li, A hybrid prognostics approach for estimating remaining useful life of rolling element bearings [J]. IEEE Transactions on Reliability, 2020, 69(1):401-412.
- Liang Guo, Yaguo Lei, Saibo Xing, Tao Yan, Naipeng Li, Deep convolutional transfer learning network: A new method for intelligent fault diagnosis of machines with unlabeled data [J]. IEEE Transactions on Industrial Electronics, 2019, 66(9): 7316-7325.
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- Naipeng Li, Yaguo Lei, Tao Yan, Ningbo Li, Tianyu Han, A wiener process model-based method for remaining useful life prediction considering unit-to-unit variability [J]. IEEE Transactions on Industrial Electronics, 2019, 66(3): 2092-2101.
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- Xuefang Xu, Zijian Qiao, Yaguo Lei, Repetitive transient extraction for machinery fault diagnosis using multiscale fractional order entropy infogram [J]. Mechanical Systems and Signal Processing, 2018, 103: 312-326.
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- Naipeng Li, Yaguo Lei, Liang Guo, Tao Yan, Jing Lin, Remaining useful life prediction based on a general expression of stochastic process models [J]. IEEE Transactions on Industrial Electronics, 2017, 64(7): 5709-5718.
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- Zijian Qiao, Yaguo Lei, Jing Lin, Shantao Niu, Stochastic resonance subject to multiplicative and additive noise: The influence of potential asymmetries [J]. Physical Review E, 2016, 94(5): 052214-1-13.
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- Zijian Qiao, Yaguo Lei, Jing Lin, Feng Jia, An adaptive unsaturated bistable stochastic resonance method and its application in mechanical fault diagnosis. Mechanical Systems and Signal Processing, 2017, 84: 731-746 .
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- Yaguo Lei, Naipeng Li, Szymon Gontarz, Jing Lin, Stanislaw Radkowski, Jacek Dybala, A model-based method for remaining useful life prediction of machinery. IEEE Transactions on Reliability, 2016, 65(3): 1314-1326.
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- Feng Jia, Yaguo Lei, Jing Lin, Xin Zhou, Na Lu, Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data. Mechanical Systems and Signal Processing, 2016, 72-73: 303-315.
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- Naipeng Li, Yaguo Lei, Jing Lin, Steven X. Ding, An improved exponential model for predicting remaining useful life of rolling element bearings. IEEE Transactions on Industrial Electronics, 2015, 62(12): 7762-7773.
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- YaguoLei, Jing Lin, Ming J. Zuo, Zhengjia He, Condition monitoring and fault diagnosis of planetary gearboxes: A review. Measurement, 2014, 48(2): 292-305.
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- Yaguo Lei, Jing Lin, Zhengjia He, Ming J. Zuo, A review on empirical mode decomposition in fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing, 2013, 35(1-2): 108-126.
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- Yaguo Lei, Dong Han, Jing Lin, Zhengjia He, Planetary gearbox fault diagnosis using an adaptive stochastic resonance method. Mechanical Systems and Signal Processing, 2013, 38(1): 113-124.
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- Yaguo Lei, Zhengjia He, Yanyang Zi, Application of the EEMD method to rotor fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing, 2009, 23(4): 1327-1338.
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- Yaguo Lei, Ming J Zuo, Gear crack level identification based on weighted K nearest neighbor classification algorithm. Mechanical Systems and Signal Processing, 2009, 23(5): 1535-1547.
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- Yaguo Lei, Zhengjia He, Yanyang Zi, Xuefeng Chen, New clustering algorithm based fault diagnosis using compensation distance evaluation technique. Mechanical Systems and Signal Processing, 2008, 22(2): 419-435.
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- Yaguo Lei, Zhengjia He, Yanyang Zi, Qiao Hu, Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs. Mechanical Systems and Signal Processing, 2007, 21(5): 2280-2294.
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- Bin Yang, Yaguo Lei, Feng Jia, Naipeng Li, Zhaojun Du, A polynomial kernel induced distance metric to improve deep transfer learning for fault diagnosis of machines [J]. IEEE Transactions on Industrial Electronics, 2020, 67(11): 9747-9757.
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- Biao Wang, Yaguo Lei, Naipeng Li, Tao Yan, Deep separable convolutional network for remaining useful life prediction of machinery [J]. Mechanical Systems and Signal Processing, 2019, 134: 106330.
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- Xuefang Xu, Yaguo Lei, Zeda Li, An incorrect data detection method for big data cleaning of machinery condition monitoring [J]. IEEE Transactions on Industrial Electronics, 2020, 67(3): 2326-2336.
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- Naipeng Li, Nagi Gebraeel, Yaguo Lei, Linkan Bian, Xiaosheng Si, Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model [J]. Reliability Engineering & System Safety, 2019, 186:88-100.
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