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Siliang Lu
Siliang Lu
Professor at Anhui University
在 mail.ustc.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
3272019
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
2352021
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
1922019
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
1442022
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
1302015
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
1122014
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
1042016
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
992014
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
972017
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
952018
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
942018
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
862017
Edge computing on IoT for machine signal processing and fault diagnosis: A review
S Lu, J Lu, K An, X Wang, Q He
IEEE Internet of Things Journal 10 (13), 11093-11116, 2023
852023
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
822019
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
822017
Edge Computing: A Promising Framework for Real-Time Fault Diagnosis and Dynamic Control of Rotating Machines Using Multi-Sensor Data
G Qian, S Lu, D Pan, H Tang, Y Liu, Q Wang
IEEE Sensors Journal 19, 4211-4220, 2019
742019
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
722020
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
682016
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
662018
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