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Mengdi Li
Mengdi Li
University of Huddersfield
在 stumail.ysu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
A multi-source information transfer learning method with subdomain adaptation for cross-domain fault diagnosis
J Tian, D Han, M Li, P Shi
Knowledge-Based Systems 243, 108466, 2022
1002022
A novel stochastic resonance model based on bistable stochastic pooling network and its application
W Zhang, P Shi, M Li, D Han
Chaos, Solitons & Fractals 145, 110800, 2021
402021
Stochastic resonance in a high-order time-delayed feedback tristable dynamic system and its application
P Shi, W Zhang, D Han, M Li
Chaos, Solitons & Fractals 128, 155-166, 2019
352019
Weak signal enhancement for machinery fault diagnosis based on a novel adaptive multi-parameter unsaturated stochastic resonance
P Shi, M Li, W Zhang, D Han
Applied Acoustics 189, 108609, 2022
312022
Study on the optimal stochastic resonance of different bistable potential models based on output saturation characteristic and application
M Li, P Shi, W Zhang, D Han
Chaos, Solitons & Fractals 139, 110098, 2020
242020
Stochastic resonance in a high-dimensional space coupled bistable system and its application
M Li, P Shi, W Zhang, D Han
Applied Mathematical Modelling 113, 160-174, 2023
232023
A novel underdamped continuous unsaturation bistable stochastic resonance method and its application
M Li, P Shi, W Zhang, D Han
Chaos, Solitons & Fractals 151, 111228, 2021
212021
Signal detection based on second-order underdamped tristable stochastic resonance and its application to weak fault diagnosis
W Zhang, P Shi, M Li, Y Jiao, D Han
IEEE Access 7, 173753-173765, 2019
142019
Characteristic frequency detection of steady-state visual evoked potentials based on filter bank second-order underdamped tristable stochastic resonance
P Shi, J Li, W Zhang, M Li, D Han
Biomedical Signal Processing and Control 84, 104817, 2023
72023
A novel adaptive weak fault diagnosis method based on modulation periodic stochastic pooling networks
W Zhang, P Shi, M Li, D Han, Y He, F Gu, A Ball
Chaos, Solitons & Fractals 173, 113588, 2023
32023
Noise-induced synchronization stochastic resonance in Hodgkin–Huxley neurons
P Shi, Y Wang, W Zhang, M Li, T Song
Modern Physics Letters B 36 (23), 2250117, 2022
32022
Incremental forecaster using C–C algorithm to phase space reconstruction and broad learning network for short-term wind speed prediction
S Hu, X Xu, M Li, P Shi, R Li, S Wang
Engineering Applications of Artificial Intelligence 128, 107461, 2024
22024
Nonlinear dynamics analysis of enhancing energy harvesting from intense vibration based on improved asymmetric bistable stochastic resonance model
P Shi, Z Liu, M Li, X Xu, D Han
Chinese Journal of Physics 90, 223-236, 2024
12024
A secondary optimization strategy in stochastic resonance modelling for the detection of unknown bearing faults
M Li, J Huang, P Shi, F Zhang, F Gu, F Chu
Chaos, Solitons & Fractals 189, 115576, 2024
2024
Lubrication State Monitoring of Journal Bearings Based on Vibration Features
M Li, P Shi, D Han, Z Hu, Y Chen, F Gu, AD Ball
International conference on the Efficiency and Performance Engineering …, 2024
2024
Experimental Investigation on Condition Monitoring of Journal Bearing Lubrication Status Based on On-Rotor Sensing Signal
Z Hu, M Li, Y Chen, S Okhionkpamwonyi, H Zhang, Z Zhou, F Gu, AD Ball
International conference on the Efficiency and Performance Engineering …, 2024
2024
An Adaptive Stochastic Resonance Modelling Quantified by Gini-Index for the Detection of Unknown Bearing Faults
M Li, P Shi, D Han, Y He, Z Hu, F Gu, AD Ball
International conference on the Efficiency and Performance Engineering …, 2023
2023
Weak Signal Detection Method with Adaptive Three-Dimensional Coupled Bistable Stochastic Resonance System
M Li, P Shi, W Zhang, F Gu
International conference on the Efficiency and Performance Engineering …, 2022
2022
A Novel Time-Frequency Analysis Tool: Synchroextracting General Linear Chirplet Transform Based on an Odd Symmetric Window Function
Z Hu, Z Zhou, Y Chen, M Li, D Shi, S Okhionkpamwonyi, H Zhang, F Gu, ...
Available at SSRN 4710438, 0
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