Jimeng Li

发表

Early Fault Detection of Wind Turbines Based on Operational Condition Clustering and Optimized Deep Belief Network Modeling

Hong Wang, Hongbin Wang, Guoqian Jiang, 2019, Energies.

Multi-stable stochastic resonance and its application research on mechanical fault diagnosis

Zhengjia He, Xuefeng Chen, Jimeng Li, 2013 .

Compressed sensing based on dictionary learning for extracting impulse components

Han Zhang, Zhaohui Du, Xuefeng Chen, 2014, Signal Process..

A new adaptive cascaded stochastic resonance method for impact features extraction in gear fault diagnosis

Yungang Zhang, Ping Xie, Jimeng Li, 2016 .

Adaptive Monostable Stochastic Resonance Based on PSO with Application in Impact Signal Detection

Jimeng Li, 2011 .

Rolling bearing fault diagnosis based on improved adaptive parameterless empirical wavelet transform and sparse denoising

Xiangdong Wang, Jimeng Li, Hui Wang, 2020 .

Frequency-shift multiscale noise tuning stochastic resonance method for fault diagnosis of generator bearing in wind turbine

Ming Li, Guoqian Jiang, Jimeng Li, 2019, Measurement.

Rolling bearing fault diagnosis based on EEMD and sparse decomposition

Ming Li, Guoqian Jiang, Jimeng Li, 2017, 2017 Prognostics and System Health Management Conference (PHM-Harbin).

Introducing article numbering to Knowledge-Based Systems

Jimeng Li, 2019, Knowl. Based Syst..

A new noise-controlled second-order enhanced stochastic resonance method with its application in wind turbine drivetrain fault diagnosis

Zhengjia He, Zhaohui Du, Xuefeng Chen, 2013 .

Extracting-mapping scheme for the dynamic details in fluid re-simulations from videos

Ning Wang, Hongyan Quan, Changbo Wang, 2019, Multimedia Systems.

Adaptive stochastic resonance method for impact signal detection based on sliding window

Zhengjia He, Xuefeng Chen, Jimeng Li, 2013 .

An Adaptive Randomized Orthogonal Matching Pursuit Algorithm With Sliding Window for Rolling Bearing Fault Diagnosis

Hui Wang, Ming Li, Jimeng Li, 2018, IEEE Access.

Impact fault detection of gearbox based on variational mode decomposition and coupled underdamped stochastic resonance.

Hui Wang, Jimeng Li, Yungang Zhang, 2019, ISA transactions.

Rolling bearing fault diagnosis based on time-delayed feedback monostable stochastic resonance and adaptive minimum entropy deconvolution

Jinfeng Zhang, Jimeng Li, Ming Li, 2017 .

Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis

Jinfeng Zhang, Hui Wang, Jimeng Li, 2019, Mechanical Systems and Signal Processing.

Multiscale local features learning based on BP neural network for rolling bearing intelligent fault diagnosis

Xiangdong Wang, Jimeng Li, Qingwen Yu, 2020, Measurement.

An enhanced rolling bearing fault detection method combining sparse code shrinkage denoising with fast spectral correlation.

Jimeng Li, Yungang Zhang, Xiangdong Wang, 2020, ISA transactions.

A clustering K-SVD-based sparse representation method for rolling bearing fault diagnosis

Jimeng Li, Qingwen Yu, Zhixin Li, 2021 .

Stochastic resonance in cascaded monostable systems with double feedback and its application in rolling bearing fault feature extraction

Jimeng Li, Zhixin Li, Xiangdong Wang, 2021, Nonlinear Dynamics.

Adaptive energy-constrained variational mode decomposition based on spectrum segmentation and its application in fault detection of rolling bearing

Jimeng Li, Zong Meng, Xing Cheng, 2021, Signal Process..

Adaptive Multiscale Noise Control Enhanced Stochastic Resonance Method Based on Modified EEMD with Its Application in Bearing Fault Diagnosis

Jimeng Li, Jinfeng Zhang, 2016 .

Quantitative evaluation on the performance and feature enhancement of stochastic resonance for bearing fault diagnosis

Shibin Wang, Xuefeng Chen, Jimeng Li, 2016 .