RESEARCH INTERESTS
1. Industrial Big data and artificial intelligence
2. Intelligent operation and maintenance of wind turbines
3. Robot intelligent diagnosis and treatment
MONOGRAPHS
1. Yaguo Lei, Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery [M]. Elsevier Butterworth-Heinemann, Oxford, 2016.
2. Yaguo Lei, Naipeng Li, Xiang Li, Big Data-Driven Intelligent Fault Diagnosis and Prognosis for Mechanical Systems [M]. Springer, 2022.
SELECTED PUBLICATIONS
1. Naipeng Li, Mingyang Wang, Yaguo Lei*, Xiaosheng Si, Bin Yang, Xiang Li, A nonparametric degradation modeling method for remaining useful life prediction with fragment data, Reliability Engineering & System Safety, 2024, 249: 110224.
2. Naipeng Li, Yaguo Lei*, Xiaofei Liu, Tao Yan, Pengcheng Xu, Machinery health prognostics with multimodel fusion degradation modeling, IEEE Transactions on Industrial Electronics, 2023, 70(11): 11764-11773.
3. Naipeng Li, Yaguo Lei, Xiang Li*, Xiaofei Liu, Bin Yang, A new nonparametric degradation modeling method for truncated degradation signals by axis rotation, Mechanical Systems and Signal Processing, 2023, 192: 110213.
4. Naipeng Li, Pengcheng Xu, Yaguo Lei*, Xiao Cai, Detong Kong, A self-data-driven method for remaining useful life prediction of wind turbines considering continuously varying speeds. Mechanical Systems and Signal Processing, 2022, 165: 108315.
5. Naipeng Li, Yaguo Lei*, Nagi Gebraeel, Zhijian Wang, Xiao Cai, Pengcheng Xu, Biao Wang. Multi-sensor data-driven remaining useful life prediction of semi-observable systems. IEEE Transactions on Industrial Electronics, 2021, 68(11): 11482-91.
6. Naipeng Li, Nagi Gebraeel, Yaguo Lei*, Xiaolei Fang, Xiao Cai, Tao Yan. Remaining useful life prediction based on a multi-sensor data fusion model. Reliability Engineering & System Safety, 2021, 208: 107249.
7. 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. Reliability Engineering & System Safety, 2019, 186: 88-100.
8. 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. IEEE Transactions on Industrial Electronics, 2019, 66(3): 2092-2101.
9. Naipeng Li, Yaguo Lei*, Liang Guo, Tao Yan, Jing Lin. Remaining useful life prediction based on a general expression of stochastic process models. IEEE Transactions on Industrial Electronics, 2017, 64(7): 5709-5718.
10. Naipeng Li, Yaguo Lei*, Jing Lin, Steven X. An improved exponential model for predicting remaining useful life of rolling element bearings. IEEE Transactions on Industrial Electronics, 2015, 62(12): 7762-7773.