| Energy-fluctuated multiscale feature learning with deep convnet for intelligent spindle bearing fault diagnosis X Ding, Q He IEEE Transactions on Instrumentation and Measurement, 2017 | 471 | 2017 |
| A review of stochastic resonance in rotating machine fault detection S Lu, Q He, J Wang Mechanical Systems and Signal Processing 116, 230-260, 2019 | 329 | 2019 |
| Subspace-based gearbox condition monitoring by kernel principal component analysis Q He, F Kong, R Yan Mechanical Systems and Signal Processing 21 (4), 1755-1772, 2007 | 160 | 2007 |
| Effects of multiscale noise tuning on stochastic resonance for weak signal detection Q He, J Wang Digital Signal Processing 22 (4), 614-621, 2012 | 149 | 2012 |
| Multiscale noise tuning of stochastic resonance for enhanced fault diagnosis in rotating machines Q He, J Wang, Y Liu, D Dai, F Kong Mechanical Systems and Signal Processing 28, 443-457, 2012 | 145 | 2012 |
| Machine condition monitoring using principal component representations Q He, R Yan, F Kong, R Du Mechanical Systems and Signal Processing 23 (2), 446-466, 2009 | 139 | 2009 |
| Vibration signal classification by wavelet packet energy flow manifold learning Q He Journal of Sound and Vibration 332 (7), 1881-1894, 2013 | 132 | 2013 |
| Effects of underdamped step-varying second-order stochastic resonance for weak signal detection S Lu, Q He, F Kong Digital Signal Processing 36, 93-103, 2015 | 130 | 2015 |
| Adaptive multiscale noise tuning stochastic resonance for health diagnosis of rolling element bearings J Wang, Q He, F Kong Instrumentation and Measurement, IEEE Transactions on 64 (2), 564-577, 2015 | 116 | 2015 |
| Stochastic resonance with Woods–Saxon potential for rolling element bearing fault diagnosis S Lu, Q He, F Kong Mechanical Systems and Signal Processing 45 (2), 488–503, 2014 | 112 | 2014 |
| Wayside acoustic diagnosis of defective train bearings based on signal resampling and information enhancement Q He, J Wang, F Hu, F Kong Journal of Sound and Vibration 332 (21), 5635-5649, 2013 | 111 | 2013 |
| A fusion feature and its improvement based on locality preserving projections for rolling element bearing fault classification X Ding, Q He, N Luo Journal of Sound and Vibration 335, 367-383, 2015 | 108 | 2015 |
| Fault diagnosis of motor bearing with speed fluctuation via angular resampling of transient sound signals S Lu, X Wang, Q He, F Liu, Y Liu Journal of Sound and Vibration 385, 16-32, 2016 | 104 | 2016 |
| Sequential Multiscale Noise Tuning Stochastic Resonance for Train Bearing Fault Diagnosis in an Embedded System S Lu, Q He, F Hu, F Kong Instrumentation and Measurement, IEEE Transactions 63 (1), 106-116, 2014 | 99 | 2014 |
| Structure damage localization with ultrasonic guided waves based on a time–frequency method D Dai, Q He Signal Processing 96, 21-28, 2014 | 98 | 2014 |
| Time-frequency manifold as a signature for machine health diagnosis Q He, Y Liu, Q Long, J Wang Instrumentation and Measurement, IEEE Transactions on 61 (5), 1218-1230, 2012 | 98 | 2012 |
| Online Fault Diagnosis of Motor Bearing via Stochastic-Resonance-Based Adaptive Filter in an Embedded System S Lu, Q He, T Yuan, F Kong IEEE, 0 | 97 | |
| Bearing fault diagnosis of a permanent magnet synchronous motor via a fast and online order analysis method in an embedded system S Lu, Q He, J Zhao Mechanical Systems and Signal Processing, 2017 | 96 | 2017 |
| Time–frequency manifold for nonlinear feature extraction in machinery fault diagnosis Q He Mechanical Systems and Signal Processing 35 (1), 200-218, 2013 | 93 | 2013 |
| Multiscale slope feature extraction for rotating machinery fault diagnosis using wavelet analysis P Li, F Kong, Q He, Y Liu Measurement 46 (1), 497-505, 2013 | 87 | 2013 |
Siliang LuProfessor at Anhui University在 mail.ustc.edu.cn 的电子邮件经过验证
