代表性论文：
[1]Yang Lei, Liao Yuhe, Li Tuojian, et al. Remaining useful life transfer prediction integrated with time-varying operation condition decoupling transformation[J]. Engineering Applications of Artificial Intelligence, 2025, 157: 111355. （SCI，JCR Q1，IF=8，中科院一区TOP）
[2]Yang Lei, Liao Yuhe, Duan Rongkai, et al. A bidirectional recursive gated dual attention unit based RUL prediction approach[J]. Engineering Applications of Artificial Intelligence, 2023, 120: 22. （SCI，JCR Q1，IF=8，中科院一区TOP）
[3]Yang Lei, Li Tuojian, Dong Yue, et al. A knowledge-data integration framework for rolling element bearing RUL prediction across its life cycle[J]. ISA Transactions, 2024, 152: 331–357. （SCI，JCR Q1，IF=6.5，中科院二区TOP）
[4]Yang Lei, Duan Rongkai, Kang Tao, et al. Iterative Morlet wavelet with SOSO boosting strategy for impulsive feature extraction[J]. Measurement, 2022, 193: 14. （SCI，JCR Q1，IF=5.6，中科院二区TOP）
[5]Yang Lei, Liao Yuhe. An Optimal Dual Data-Driven Framework for RUL Prediction With Uncertainty Quantification[J]. IEEE Sensors Journal, 2025, 25(3): 4943–4957. （SCI，JCR Q1，IF=4.5，中科院二区）
[6]Yang Lei, Xu Cuiwentong, Duan Rongkai, et al. Stack Denoising Autoencoder and State-Space Model Based Bearing RUL Prediction Method[C]. 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD). Harbin, China. Dec 22–24, 2022: 701–706.
[7]Sun Peng, Yang Lei, Xue Jiutao, et al. An optimal frequency band selection approach via periodic shock indicator for bearing fault feature extraction[J]. Measurement Science and Technology, 2025, 36(2): 23.
[8]Duan Rongkai, Yang Lei, Kang Tao, et al. Singular Spectrum Decomposition and Iteration Sparsity-Oriented Morphological Demodulation for Bearing Fault Diagnosis[C]. 2021 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD). Nanjing, China. Oct 21–23, 2021: 1–6.
[9]Duan Rongkai, Liao Yuhe, Yang Lei. Adaptive tacholess order tracking method based on generalized linear chirplet transform and its application for bearing fault diagnosis[J]. ISA Transactions, 2022, 127: 324–341.
[10]Duan Rongkai, Liao Yuhe, Yang Lei, et al. Faulty Bearing Signal Analysis With Empirical Morphological Undecimated Wavelet[J]. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 11.
[11]Duan Rongkai, Liao Yuhe, Yang Lei, et al. Minimum entropy morphological deconvolution and its application in bearing fault diagnosis[J]. Measurement, 2021, 182: 12.
[12]王坚坚, 廖与禾, 杨磊, 等. 基于多维复向特征融合与CNN-GRU的转子不平衡量识别方法[J]. 中国机械工程, 2024:1–12.
[13]康涛, 段蓉凯, 杨磊, 等. 融合多注意力机制的卷积神经网络轴承故障诊断方法[J]. 西安交通大学学报, 2022,56(12):68–77.
[14]段蓉凯 薛久涛, 杨磊, 等. 基于自适应非对称双形态卷积滤波器的轮对轴承故障特征提取方法[J]. 2022年全国设备监测诊断与维护学术会议, 2022.
[15]薛久涛 廖与禾, 杨磊. 基于EEMD与频域多点峭度的滚动轴承故障诊断方法[J]. 2020年全国设备监测诊断与维护学术会议, 2020.
[16]Sun Peng, Peng Jingbo, Liao Yuhe, Yang Lei, et al. Health index construction via symmetric Mel-scale frequency segmentation and non-parametric statistical model for bearing condition monitoring[J]. Applied Acoustics, 2025, 231: 21.
[17]熊成文, 高贯鲁, 薛久涛, 杨磊, 等. 转速波动和键相抖动下测量转频相位的跟踪回归法[J]. 仪器仪表学报, 2025, 46(08): 174–184.
主编或参编的学术著作或教材：
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专利及软件著作：
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