Jimeng Li

发表

Intelligent fault diagnosis of rolling bearings under varying operating conditions based on domain-adversarial neural network and attention mechanism.

Hao Wu, Jimeng Li, Qingyu Zhang, 2022, ISA transactions.

Optical H2S and SO2 sensor based on chemical conversion and partition differential optical absorption spectroscopy.

H. Xia, Jimeng Li, Zhiguo Zhang, 2019, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

A novel adaptive stochastic resonance method based on coupled bistable systems and its application in rolling bearing fault diagnosis

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

A concentricity measurement method for large forgings based on laser ranging principle

Xian-bin Fu, Yu-cun Zhang, Jimeng Li, 2019 .

Measurement of the absorption cross sections of unstable CS based on the dynamic equilibrium of CS2 and CS in the photolysis of CS2

Jimeng Li, Zhiguo Zhang, Yungang Zhang, 2020 .

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

Shibin Wang, Xuefeng Chen, Jimeng Li, 2016 .

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

Jimeng Li, Zong Meng, X. Cheng, 2022, Chaos, Solitons & Fractals.

A Gear Fault Diagnosis Method Based on Improved Accommodative Random Weighting Algorithm and Bb-1d-Tp

Jimeng Li, Zong Meng, Lixiao Cao, 2022, SSRN Electronic Journal.

Mechanical fault intelligent diagnosis using attention-based dual-scale feature fusion capsule network

Jimeng Li, Qingyu Zhang, Zong Meng, 2022, Measurement.

Compressed sensing based on dictionary learning for extracting impulse components

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

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.

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

Xiangdong Wang, Jimeng Li, Hui Wang, 2020 .

A sparsity-enhanced periodic OGS model for weak feature extraction of rolling bearing faults

Jimeng Li, Zong Meng, Wanmeng Ding, 2022, Mechanical Systems and Signal Processing.

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.

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

Zhengjia He, Xuefeng Chen, Jimeng Li, 2013 .

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).

Research on rolling bearing fault diagnosis method based on ARMA and optimized MOMEDA

Ying Zhang, Jimeng Li, Zong Meng, 2021, Measurement.

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.

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

Jinfeng Zhang, Jimeng Li, Ming Li, 2017 .

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

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

Period-assisted adaptive parameterized wavelet dictionary and its sparse representation for periodic transient features of rolling bearing faults

Jimeng Li, Zong Meng, Jinfeng Zhang, 2022, Mechanical systems and signal processing.

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.

Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model

Zhongjie Shen, Jimeng Li, Zong Meng, 2022, Reliab. Eng. Syst. Saf..

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..

A two-stage domain alignment method for multi-source domain fault diagnosis

Jimeng Li, Zong Meng, Lixiao Cao, 2023, Measurement.

Measurement of CS2 Absorption Cross-Sections in the 188–215 nm Region at Room Temperature and Atmospheric Pressure

Jimeng Li, Zhiguo Zhang, Yungang Zhang, 2020, Applied spectroscopy.

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

Zhengjia He, Xuefeng Chen, Jimeng Li, 2013 .

Fault feature enhancement of gearbox in combined machining center by using adaptive cascade stochastic resonance

Zhengjia He, Bing Li, JiMeng Li, 2011 .

A local RBFs-based DQ approximation for Riesz fractional derivatives and its applications

Jimeng Li, Xiaogang Zhu, Yaping Zhang, 2021, Numerical Algorithms.

A Novel Convolution Network Based on Temporal Attention Fusion Mechanism for Remaining Useful Life Prediction of Rolling Bearings

Jimeng Li, Zong Meng, Lixiao Cao, 2023, IEEE Sensors Journal.

Rolling Bearing Fault Detection Based on Improved Piecewise Unsaturated Bistable Stochastic Resonance Method

Hao Wu, Jimeng Li, Xiangdong Wang, 2021, IEEE Transactions on Instrumentation and Measurement.

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

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

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

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

Measurement and evaluation of time-varying meshing stiffness of faulty gears under different types

Y. Zhang, Jimeng Li, Zong Meng, 2023, Measurement science and technology.

A novel coupled array of multi-stable stochastic resonance under asymmetric trichotomous noise and its application in rolling bearing compound fault diagnosis

Jimeng Li, Zong Meng, Lixiao Cao, 2023, Applied Acoustics.

Fault Diagnosis of Rolling Bearings Based on Optimal Noise and Optimal Step Length Superimposed Segmental Bistable Stochastic Resonance

Jimeng Li, Zong Meng, Fengjie Fan, 2022, Journal of Vibration Engineering & Technologies.

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 .

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

Yungang Zhang, Ping Xie, Jimeng Li, 2016 .

Fractional Fourier Domain Feature Fusion Combining Multichannel Targeting Extreme Learning Machine for Bearing Fault Diagnosis

Jimeng Li, Zong Meng, Fengjie Fan, 2023, IEEE Transactions on Instrumentation and Measurement.

A hierarchical transformer-based adaptive metric and joint-learning network for few-shot rolling bearing fault diagnosis

Jimeng Li, Lixiao Cao, Fengjie Fan, 2023, Measurement Science and Technology.