Research of weak fault feature information extraction of planetary gear based on ensemble empirical mode decomposition and adaptive stochastic resonance X Chen, G Cheng, X Shan, X Hu, Q Guo, H Liu Measurement 73, 55-67, 2015 | 138 | 2015 |
Study on planetary gear fault diagnosis based on entropy feature fusion of ensemble empirical mode decomposition G Cheng, X Chen, H Li, P Li, H Liu Measurement 91, 140-154, 2016 | 112 | 2016 |
Improving the bearing fault diagnosis efficiency by the adaptive stochastic resonance in a new nonlinear system X Liu, H Liu, J Yang, G Litak, G Cheng, S Han Mechanical Systems and Signal Processing 96, 58-76, 2017 | 90 | 2017 |
Stochastic P-bifurcation and stochastic resonance in a noisy bistable fractional-order system JH Yang, MAF Sanjuán, HG Liu, G Litak, X Li Communications in Nonlinear Science and Numerical Simulation 41, 104-117, 2016 | 83 | 2016 |
Detecting the weak high-frequency character signal by vibrational resonance in the Duffing oscillator HG Liu, XL Liu, JH Yang, MAF Sanjuán, G Cheng Nonlinear Dynamics 89, 2621-2628, 2017 | 52 | 2017 |
A new method of gear fault diagnosis in strong noise based on multi-sensor information fusion G Cheng, X Chen, X Shan, H Liu, C Zhou Journal of Vibration and Control 22 (6), 1504-1515, 2016 | 51 | 2016 |
Vibrational subharmonic and superharmonic resonances JH Yang, MAF Sanjuán, HG Liu Communications in Nonlinear Science and Numerical Simulation 30 (1-3), 362-372, 2016 | 46 | 2016 |
An improved adaptive stochastic resonance method for improving the efficiency of bearing faults diagnosis D Huang, J Yang, J Zhang, H Liu Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2018 | 42 | 2018 |
Optimal IMF selection and unknown fault feature extraction for rolling bearings with different defect modes J Yang, D Huang, D Zhou, H Liu Measurement 157, 107660, 2020 | 40 | 2020 |
Recovering an unknown signal completely submerged in strong noise by a new stochastic resonance method D Huang, J Yang, D Zhou, MAF Sanjuán, H Liu Communications in Nonlinear Science and Numerical Simulation 66, 156-166, 2019 | 35 | 2019 |
Stiffness analysis of a 3CPS parallel manipulator for mirror active adjusting platform in segmented telescope G Cheng, P Xu, D Yang, H Liu Robotics and Computer-Integrated Manufacturing 29 (5), 302-311, 2013 | 35 | 2013 |
Experimental application of vibrational resonance on bearing fault diagnosis J Gao, J Yang, D Huang, H Liu, S Liu Journal of the Brazilian Society of Mechanical Sciences and Engineering 41, 1-13, 2019 | 32 | 2019 |
Extraction and enhancement of unknown bearing fault feature in the strong noise under variable speed condition J Yang, C Wu, Z Shan, H Liu, C Yang Measurement Science and Technology 32 (10), 105021, 2021 | 26 | 2021 |
Optimizing the adaptive stochastic resonance and its application in fault diagnosis X Liu, J Yang, H Liu, G Cheng, X Chen, D Xu Fluctuation and Noise Letters 14 (04), 1550038, 2015 | 26 | 2015 |
Bifurcation and resonance in a fractional Mathieu-Duffing oscillator JH Yang, MAF Sanjuán, HG Liu The European Physical Journal B 88, 1-8, 2015 | 26 | 2015 |
On bearing fault diagnosis by nonlinear system resonance S Zhang, J Yang, J Zhang, H Liu, E Hu Nonlinear Dynamics 98, 2035-2052, 2019 | 25 | 2019 |
An improved adaptive stochastic resonance with general scale transformation to extract high-frequency characteristics in strong noise D Huang, J Yang, J Zhang, H Liu International Journal of Modern Physics B 32 (15), 1850185, 2018 | 24 | 2018 |
Concept and evaluation of a new piezoelectric transducer for an implantable middle ear hearing device H Liu, J Cheng, J Yang, Z Rao, G Cheng, S Yang, X Huang, M Wang Sensors 17 (11), 2515, 2017 | 24 | 2017 |
Enhancing the weak signal with arbitrary high-frequency by vibrational resonance in fractional-order Duffing oscillators JH Yang, MAF Sanjuán, HG Liu Journal of Computational and Nonlinear Dynamics 12 (5), 051011, 2017 | 24 | 2017 |
Unknown bearing fault diagnosis under time-varying speed conditions and strong noise background J Yang, C Yang, X Zhuang, H Liu, Z Wang Nonlinear Dynamics, 1-17, 2022 | 23 | 2022 |