机械系统动态信号分析与处理；机械故障稀疏表征与诊断；基于大数据的深度学习理论与方法研究；大型装备故障智能诊断与剩余寿命预测

发表论文：

• Li Zhixin, Li Jimeng, Ding Wanmeng, et al. A sparsity-enhanced periodic OGS model for weak feature extraction of rolling bearing faults[J]. Mechanical Systems and Signal Processing, 2022, 169: 108733.

• Ding Wanmeng, Li Jimeng, Mao Weilin, et al. Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model[J]. Reliability Engineering & System Safety, 2023, 232: 109072.

•  Li Jimeng, Cheng Xing, Peng Junling, et al. A new adaptive parallel resonance system based on cascaded feedback model of vibrational resonance and stochastic resonance and its application in fault detection of rolling bearings[J]. Chaos Solitons & Fractals, 2022, 164: 112702.

• Li Jimeng, Tao Jinxin, Ding, Wanmeng, et al. Period-assisted adaptive parameterized wavelet dictionary and its sparse representation for periodic transient features of rolling bearing faults[J]. Mechanical Systems and Signal Processing, 2022, 169: 108796.
  

• Wu Hao; Li Jimeng, Zhang Qingyu, et al. Intelligent fault diagnosis of rolling bearings under varying operating conditions based on domain-adversarial neural network and attention mechanism[J]. ISA Transactions, 2022, 130: 477-489.

• Jimeng Li, Cheng Xing, Li Qiang, et al. Adaptive energy-constrained variational mode decomposition based on spectrum segmentation and its application in fault detection of rolling bearing[J]. Signal Processing, 2021, 183(2021): 108025_1-17.

• Jimeng Li, Wang Xiangdong, Wu Hao. Rolling bearing fault detection based on improved piecewise unsaturated bistable stochastic resonance method[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 6501309_1-9.

• Jimeng Li, Xiagndong Wang, Zhixin Li, et al. Stochastic resonance in cascaded monostable systems with double feedback and its application in rolling bearing fault feature extraction[J]. Nonlinear Dynamics, 2021.
  

• Qingwen Yu, Jimeng Li, Zhixin Li, et al. A clustering k-svd-based sparse representation method for rolling bearing fault diagnosis[J]. Insight, 2021.

• Jimeng Li, Xifeng Yao,  Xiangdong Wang, Qingwen Yu, Yungang Zhang. Multiscale local features learning based on BP neural network for rolling bearing intelligent fault diagnosis[J]. Measurement, 2020, https://doi.org/10.1016/j.measurement.2019.107419.  (SCI，IF 2.791)

• Jimeng Li, Hui Wang, Xiangdong Wang, Yungang Zhang. Rolling bearing fault diagnosis based on improved adaptive parameterless empirical wavelet transform and sparse denoising[J]. Measurement, 2020, https://doi.org/10.1016/j.measurement.2019.107392.  (SCI，IF 2.791)

• Jimeng Li, Xifeng   Yao, Hui Wang ,et al. Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis[J]. Mechanical  Systems and Signal Processing, 2019, 568-589. (SCI 中科院二区 Top)
  

• Jimeng Li, Jinfeng Zhang, Ming Li, et al. A novel adaptive stochastic resonance method based on coupled bistable systems and its application in rolling bearing fault diagnosis[J]. Mechanical Systems and Signal Processing, 2019, 128-145. (SCI 中科院二区 Top)
  

• Jimeng Li, Hui  Wang, Jinfeng Zhang, et al. Impact fault detection of gearbox based on variational mode decomposition and coupled underdamped stochastic resonance[J]. ISA Transactions, 2019. (SCI 中科院二区)
  

•  Jimeng Li, Ming  Li, Jinfeng Zhang, et al. Frequency-shift multiscale noise tuning stochastic resonance method for fault diagnosis of generator bearing in wind   turbine[J]. Measurement,  2019. 421-432. (SCI，IF 2.791)
  

•  Jimeng Li, Ming  Li, Xifeng Yao, et al. An adaptive randomized orthogonal   matching pursuit algorithm with sliding window for rolling bearing fault   diagnosis[J]. IEEE Access, 2018. (SCI，中科院二区)
  

• Jimeng Li, Ming Li, Jinfeng Zhang. Rolling bearing fault diagnosis based on time-delayed feedback monostable stochastic resonance and adaptive minimum entropy deconvolution[J]. Journal of Sound and Vibration, 2017: 139-151. (SCI，IF 3.123)
  

• Jimeng Li, Yungang Zhang, Ping Xie. A new adaptive cascaded stochastic resonance method for impact features extraction in gear fault diagnosis. Measurement, 2016, 91: 499-508. (SCI，IF   2.791)
  

• Jimeng Li,   Jinfeng Zhang. Adaptive multiscale noise control enhanced stochastic resonance method based on modified eemd with its application in bearing fault diagnosis. Shock and Vibration, 2016: 1485412_1:13. (SCI，IF 1.62)
  

• Jimeng Li, Xuefeng Chen, Zhengjia He. Multi-stable stochastic resonance and its application research on mechanical fault diagnosis. Journal of Sound and Vibration, 2013, 22: 5999-6015. (SCI，IF 3.123)
  

• Jimeng Li, Xuefeng Chen, Zhengjia He. Adaptive stochastic resonance method for impact signal detection based on sliding window. Mechanical Systems and Signal Processing, 2013, 36: 240-255. (SCI 中科院二区 Top)
  

• Jimeng Li, Xuefeng Chen, Zhaohui Du, et al. A New noise-controlled second-order enhanced stochastic resonance method with   its application in wind turbine drivetrain fault diagnosis. Renewable Energy, 2013, 60: 7-19. (SCI 中科院二区)
  

• Guoying Li, Jimeng Li, Shibin Wang, et al. Quantitative evaluation on the performance and feature enhancement of stochastic resonance for bearing fault diagnosis. Mechanical System and Signal Processing, 2016, 2016, 81:  108-125. (SCI 中科院二区)
  

• 李继猛，李铭，王慧，等. 基于相关正交匹配追踪算法的风电机组滚动轴承稀疏故障诊断方法. 中国机械工程，2018.
  

• 李继猛，张云刚，张金凤，等. 基于自适应随机共振的齿轮微弱冲击故障增强提取方法研究. 计量学报, 2017. 
  

• 李继猛，黄梦君，谢平，等. 同步压缩-交叉小波变换及滚动轴承故障特征增强. 计量学报, 2017. 
  

• 李继猛，张金凤，张云刚，等. 基于自适应随机共振和稀疏编码收缩算法的齿轮故障诊断方法. 中国机械工程，2016.