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Q. He*, E. Wu, and Y. Pan, “Multi-scale stochastic resonance spectrogram for fault diagnosis of rolling element bearings”, Journal of Sound and Vibration, 420, pp. 174-184, 2018 S. Zhang, Q. He*, K. Ouyang and W. Xiong, “Multi-bearing weak defect detection for wayside acoustic diagnosis based on a time-varying spatial filtering rearrangement”, Mechanical Systems and Signal Processing, 100, pp. 224-241, 2018 J. Guo, S. Lu, C. Zhai, and Q. He, “Automatic bearing fault diagnosis of permanent magnet synchronous generators in wind turbines subjected to noise interference”, Measurement Science and Technology, 29(2): 025002, Feb. 2018 X. Liu, Z. Hu, Q. He*, S. Zhang and J. Zhu, “Doppler distortion correction based on microphone array and matching pursuit algorithm for a wayside train bearing monitoring system”, Measurement Science and Technology, 28(10): 105006, Oct 2017 X. Ding and Q. He*, “Energy-Fluctuated Multiscale Feature Learning with Deep ConvNet for Intelligent Spindle Bearing Fault Diagnosis”,IEEE Transactions on Instrumentation and Measurement, 66(8): 1926–1935, Aug 2017 S. Zhang, Q. He*, H. Zhang, K. Ouyang, and F. Kong, “Signal Separation and Correction with Multiple Doppler Acoustic Sources for Wayside Fault Diagnosis of Train Bearings”, Proceedings of the Institution of Mechanical Engineers, Part C - Journal of Mechanical Engineering Science, 232(14): 2664–2680, July 2017 S. Lu, Q. He*, T. Yuan, and F. Kong, “Online Fault Diagnosis of Motor Bearing via Stochastic–Resonance-based Adaptive Filter in an Embedded System”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(7): 1111–1122, July 2017 X. Wang, J. Guo, S. Lu, C. Shen, and Q. He, “A computer-vision-based rotating speed estimation method for motor bearing fault diagnosis”, Measurement Science and Technology, 28(6): 065012, Jun. 2017 Q. He* and T. Jiang, “Complementary multi-mode low-frequency vibration energy harvesting with chiral piezoelectric structure”, Applied Physics Letters, 110(21), p. 213901, 2017 Q. He*, Y. Xu, S. Lu and Y. Shao, “Frequency-shift vibro-acoustic modulation driven by low-frequency broadband excitations in a bistable cantilever oscillator”, Measurement Science and Technology, 28(3), p. 037002, 2017 Q. He*, Y. Shao, and Z. Liao, “Nonlinear damage localization in structures using nonlinear vibration modulation of ultrasonic-guided waves”, ASME Transactions, Journal of Vibration and Acoustics, 139(2), p. 021001, 2017 S. Zhang, Q. He*, H. Zhang, K. Ouyang, “Doppler Correction Using Short-Time MUSIC and Angle Interpolation Resampling for Wayside Acoustic Defective Bearing Diagnosis”, IEEE Transactions on Instrumentation and Measurement, 66(4): 671–680, 2017 T. Jiang and Q. He*, “Dual-directionally tunable metamaterial for low-frequency vibration isolation”, Applied Physics Letters, 110(2), p. 021907, 2017 S. Lu, Q. He*, H. Zhang, F. Kong, “Rotating machine fault diagnosis through enhanced stochastic resonance by full-wave signal construction”, Mechanical Systems and Signal Processing, 85, pp. 82–97, 2017 S. Lu, Q. He*, D. Dai, and F. Kong, “Periodic fault signal enhancement in rotating machine vibrations via stochastic resonance”, Journal of Vibration and Control, 22(20), pp. 4227-4246, Dec. 2016 S. Lu, X. Wang, Q. He, F. Liu, and Y. Liu, “Fault diagnosis of motor bearing with speed fluctuation via angular resampling of transient sound signals”, Journal of Sound and Vibration, 385, pp. 16-32, December 2016 X. Ding and Q. He*, “Time-frequency manifold sparse reconstruction: A novel method for bearing fault feature extraction”, Mechanical Systems and Signal Processing, 80, pp. 392–413, Dec. 2016 S. Lu, J. Guo, Q. He, F. Liu, Y. Liu, and J. Zhao, “A Novel Contactless Angular Resampling Method for Motor Bearing Fault Diagnosis Under Variable Speed”, IEEE Transactions on Instrumentation and Measurement, 65(11), pp. 2538-2549, Nov. 2016 J. Wang and Q. He*, “Wavelet packet envelope manifold for fault diagnosis of rolling element bearings”, IEEE Transactions on Instrumentation and Measurement, 65(11), pp. 2515-2526, Nov. 2016 S. Zhang, S. Lu, Q. He*, F. Kong, “Time-varying singular value decomposition for periodic transient identification in bearing fault diagnosis”, Journal of Sound and Vibration, 379, pp. 213–231, Sep. 2016

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