| Applications of stochastic resonance to machinery fault detection: A review and tutorial Z Qiao, Y Lei, N Li Mechanical Systems and Signal Processing 122, 502-536, 2019 | 267 | 2019 |
| An adaptive unsaturated bistable stochastic resonance method and its application in mechanical fault diagnosis Z Qiao, Y Lei, J Lin, F Jia Mechanical Systems and Signal Processing 84, 731-746, 2017 | 251 | 2017 |
| An underdamped stochastic resonance method with stable-state matching for incipient fault diagnosis of rolling element bearings Y Lei, Z Qiao, X Xu, J Lin, S Niu Mechanical Systems and Signal Processing 94, 148-164, 2017 | 160 | 2017 |
| SVD principle analysis and fault diagnosis for bearings based on the correlation coefficient Z Qiao, Z Pan Measurement Science and Technology 26 (8), 085014, 2015 | 152 | 2015 |
| Coupled neurons with multi-objective optimization benefit incipient fault identification of machinery Z Qiao, X Shu Chaos, Solitons & Fractals 145, 110813, 2021 | 119 | 2021 |
| Stochastic resonance subject to multiplicative and additive noise: The influence of potential asymmetries Z Qiao, Y Lei, J Lin, S Niu Physical Review E 94 (5), 052214, 2016 | 93 | 2016 |
| A second-order stochastic resonance method enhanced by fractional-order derivative for mechanical fault detection Z Qiao, A Elhattab, X Shu, C He Nonlinear Dynamics 106 (1), 707-723, 2021 | 81 | 2021 |
| Repetitive transient extraction for machinery fault diagnosis using multiscale fractional order entropy infogram X Xu, Z Qiao, Y Lei Mechanical Systems and Signal Processing 103, 312-326, 2018 | 66 | 2018 |
| Chaotic resonance in a fractional-order oscillator system with application to mechanical fault diagnosis Y He, Y Fu, Z Qiao, Y Kang Chaos, Solitons & Fractals 142, 110536, 2021 | 50 | 2021 |
| Double stochastic resonance induced by varying potential-well depth and width Z Qiao, J Liu, X Ma, J Liu Journal of the Franklin Institute 358 (3), 2194-2211, 2021 | 45 | 2021 |
| Harmonic-Gaussian double-well potential stochastic resonance with its application to enhance weak fault characteristics of machinery Z Qiao, S Chen, Z Lai, S Zhou, MAF Sanjuán Nonlinear Dynamics 111 (8), 7293-7307, 2023 | 43 | 2023 |
| An intelligent fault diagnosis method enhanced by noise injection for machinery C Yang, Z Qiao, R Zhu, X Xu, Z Lai, S Zhou IEEE Transactions on Instrumentation and Measurement, 2023 | 37 | 2023 |
| Noise-boosted weak signal detection in fractional nonlinear systems enhanced by increasing potential-well width and its application to mechanical fault diagnosis Z Qiao, Y He, C Liao, R Zhu Chaos, Solitons & Fractals 175, 113960, 2023 | 37 | 2023 |
| Array-enhanced logical stochastic resonance subject to colored noise Z Wang, Z Qiao, L Zhou, L Zhang Chinese Journal of Physics 55 (2), 252-259, 2017 | 33 | 2017 |
| TSN: A novel intelligent fault diagnosis method for bearing with small samples under variable working conditions P Shi, S Wu, X Xu, B Zhang, P Liang, Z Qiao Reliability Engineering & System Safety 240, 109575, 2023 | 27 | 2023 |
| Stochastic resonance induced weak signal enhancement over controllable potential-well asymmetry J Liu, Z Qiao, X Ding, B Hu, C Zang Chaos, Solitons & Fractals 146, 110845, 2021 | 25 | 2021 |
| Energy harvesting from a hybrid piezo-dielectric vibration energy harvester with a self-priming circuit Z Lai, J Xu, S Fang, Z Qiao, S Wang, C Wang, Z Huang, S Zhou Energy 273, 127205, 2023 | 23 | 2023 |
| Caputo-Fabrizio fractional order derivative stochastic resonance enhanced by ADOF and its application in fault diagnosis of wind turbine drivetrain X Xu, B Li, Z Qiao, P Shi, H Shao, R Li Renewable Energy 219, 119398, 2023 | 17 | 2023 |
| A pendulum-based absorber-harvester with an embedded hybrid vibro-impact electromagnetic-dielectric generator C Zhang, J Xu, S Fang, Z Qiao, D Yurchenko, Z Lai Nano Energy 107, 108126, 2023 | 16 | 2023 |
| Nonlinear resonance decomposition for weak signal detection Z Qiao, J Liu, X Xu, A Yin, X Shu Review of Scientific Instruments 92 (10), 2021 | 16 | 2021 |