Следене
Siliang Lu
Siliang Lu
Professor at Anhui University
Потвърден имейл адрес: mail.ustc.edu.cn - Начална страница
Заглавие
Позовавания
Позовавания
Година
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
3072019
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning
M Xia, H Shao, D Williams, S Lu, L Shu, CW de Silva
Reliability Engineering & System Safety 215, 107938, 2021
1912021
Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis
S Lu, R Yan, Y Liu, Q Wang
IEEE Transactions on Instrumentation and Measurement 68, 2315-2332, 2019
1652019
Highly efficient fault diagnosis of rotating machinery under time-varying speeds using LSISMM and small infrared thermal images
X Li, H Shao, S Lu, J Xiang, B Cai
IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (12), 7328-7340, 2022
1292022
Effects of underdamped step-varying second-order stochastic resonance for weak signal detection
S Lu, Q He, F Kong
Digital Signal Processing 36 (2015), 93-103, 2015
1232015
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
1112014
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
962016
Sequential Multiscale Noise Tuning Stochastic Resonance for Train Bearing Fault Diagnosis in an Embedded System
S Lu, Q He, F Hu, F Kong
IEEE Transactions on Instrumentation and Measurement 63 (1), 106-116, 2014
962014
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 113, 36-49, 2018
932018
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 Transactions on Systems, Man and Cybernetics: Systems 47 (7), 1111-1122, 2017
912017
Condition monitoring and fault diagnosis of motor bearings using undersampled vibration signals from a wireless sensor network
S Lu, P Zhou, X Wang, Y Liu, F Liu, J Zhao
Journal of Sound and Vibration 414, 81-96, 2018
902018
Rotating machine fault diagnosis through enhanced stochastic resonance by full-wave signal construction
S Lu, Q He, H Zhang, F Kong
Mechanical Systems and Signal Processing 85, 82-97, 2017
852017
Sound-aided vibration weak signal enhancement for bearing fault detection by using adaptive stochastic resonance
S Lu, P Zheng, Y Liu, Z Cao, H Yang, Q Wang
Journal of Sound and Vibration 449, 18-29, 2019
772019
Optimal Design of Permanent Magnet Linear Synchronous Motors Based on Taguchi Method
J Song, F Dong, J Zhao, S Lu, S Dou, H Wang
IET Electric Power Applications 11, 41-48, 2017
762017
Time-varying singular value decomposition for periodic transient identification in bearing fault diagnosis
S Zhang, S Lu, Q He, F Kong
Journal of Sound and Vibration 379, 216-231, 2016
672016
Enhanced Rotating Machine Fault Diagnosis Based on Time-Delayed Feedback Stochastic Resonance
S Lu, Q He, H Zhang, F Kong
Journal of Vibration and Acoustics, Transactions of the ASME 137 (5), 051008, 2015
672015
A New Methodology to Estimate the Rotating Phase of a BLDC Motor with its Application in Variable-Speed Bearing Fault Diagnosis
S Lu, X Wang
IEEE Transactions on Power Electronics 33 (4), 3399-3410, 2018
652018
A novel weak-fault detection technique for rolling element bearing based on vibrational resonance
L Xiao, X Zhang, S Lu, T Xia, L Xi
Journal of Sound and Vibration 438, 490-505, 2019
632019
Insitu Motor Fault Diagnosis Using Enhanced Convolutional Neural Network in an Embedded System
S Lu, G Qian, Q He, F Liu, Y Liu, Q Wang
IEEE Sensors Journal 20 (15), 8287-8296, 2020
622020
Novel synthetic index-based adaptive stochastic resonance method and its application in bearing fault diagnosis
P Zhou, S Lu, F Liu, Y Liu, G Li, J Zhao
Journal of Sound and Vibration 391, 194-210, 2017
622017
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