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2020 – today
- 2024
[j41]Wenping Cao
, Haohua Li, Cungang Hu, Hui Wang, Rongqing Huang, Siliang Lu, Xiaoyan Huang:
Diagnosis of High-Resistance Connection Faults in PMSMs Based on GMR and Deep Learning. IEEE Trans. Ind. Electron. 71(7): 7918-7926 (2024)- [j40]Zhangling Duan, Zhi Peng, Juncai Song, Xun Yang, Siliang Lu:
Complex Power Quality Disturbance Recognition Research Based on Deep Complementary Fusion of 2-D Coding Transition. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j39]Juncai Song, Houhong Han, Xianhong Wu, Jingfeng Lu, Xiaoxian Wang, Siliang Lu:
Multisource Deep Feature Fusion of Optimized Symmetrized Dot Patterns for SRM Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j38]Juncai Song, Xianhong Wu, Long Qian, Wenjun Lv, Xiaoxian Wang, Siliang Lu:
PMSLM Eccentricity Fault Diagnosis Based on Deep Feature Fusion of Stray Magnetic Field Signals. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j37]Hui Wang, Zhenyu Wu, Fatang Zhou, Wenping Cao, Cungang Hu, Siliang Lu:
Diagnosis of Interturn Short Circuit Fault in BLDCM Based on Coupled High-Frequency Signal Injection. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j36]Yunhan Ling, Dianyu Fu, Peng Jiang, Yong Sun, Chao Yuan, Dali Huang, Jingfeng Lu, Siliang Lu:
Lightweight and intelligent model based on enhanced sparse filtering for rotating machine fault diagnosis. Trans. Inst. Meas. Control 46(5): 858-870 (2024) - 2023
- [j35]Xiaoxian Wang, Shiwu Zhang, Juncai Song, Yongbin Liu, Siliang Lu:
Magnetic signal denoising based on auxiliary sensor array and deep noise reconstruction. Eng. Appl. Artif. Intell. 125: 106713 (2023) - [j34]Qingyun Zhu, Jingfeng Lu, Xiaoxian Wang, Hui Wang, Siliang Lu, Clarence W. de Silva, Min Xia:
Real-Time Quality Inspection of Motor Rotor Using Cost-Effective Intelligent Edge System. IEEE Internet Things J. 10(8, April 15): 7393-7404 (2023) - [j33]Siliang Lu, Jingfeng Lu, Kang An, Xiaoxian Wang, Qingbo He:
Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review. IEEE Internet Things J. 10(13): 11093-11116 (2023) - [j32]Xi Chen, Hui Wang, Siliang Lu, Jiawen Xu, Ruqiang Yan:
Remaining useful life prediction of turbofan engine using global health degradation representation in federated learning. Reliab. Eng. Syst. Saf. 239: 109511 (2023) - [j31]Hui Wang, Jiliang Wang, Xiaoxian Wang, Siliang Lu, Cungang Hu, Wenping Cao:
Detection and Evaluation of the Interturn Short Circuit Fault in a BLDC-Based Hub Motor. IEEE Trans. Ind. Electron. 70(3): 3055-3068 (2023) - [j30]Lv Chen, Kang An, Dali Huang, Xiaoxian Wang, Min Xia, Siliang Lu:
Noise-Boosted Convolutional Neural Network for Edge-Based Motor Fault Diagnosis With Limited Samples. IEEE Trans. Ind. Informatics 19(9): 9491-9502 (2023) - [j29]Kang An, Jingfeng Lu, Quanjing Zhu, Xiaoxian Wang, Clarence W. de Silva, Min Xia, Siliang Lu:
Edge Solution for Real-Time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j28]Xi Chen, Hui Wang, Siliang Lu, Ruqiang Yan:
Bearing Remaining Useful Life Prediction Using Federated Learning With Taylor-Expansion Network Pruning. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j27]Changbo He, Pengpeng Han, Jingfeng Lu, Xiaoxian Wang, Juncai Song, Zhixiong Li, Siliang Lu:
Real-Time Fault Diagnosis of Motor Bearing via Improved Cyclostationary Analysis Implemented onto Edge Computing System. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j26]Jingfeng Lu, Kang An, Xiaoxian Wang, Juncai Song, Feng Xie, Siliang Lu:
Compressed Channel-Based Edge Computing for Online Motor Fault Diagnosis With Privacy Protection. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j25]Jiancong Shi, Xinglong Wang, Siliang Lu, Jinde Zheng, Hui Dong, Jun Zhang:
An Adversarial Multisource Data Subdomain Adaptation Model: A Promising Tool for Fault Diagnosis of Induction Motor Under Cross-Operating Conditions. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j24]Juncai Song, Shuo Liu, Zhangling Duan, Xianhong Wu, Wei Ding, Xiaoxian Wang, Siliang Lu:
DPMSLM Demagnetization Fault Detection Based on Texture Feature Analysis of Grayscale Fusion Image. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [j23]Xiaoxian Wang, Siliang Lu, Kang Chen, Qunjing Wang, Shiwu Zhang:
Bearing Fault Diagnosis of Switched Reluctance Motor in Electric Vehicle Powertrain via Multisensor Data Fusion. IEEE Trans. Ind. Informatics 18(4): 2452-2464 (2022) - [j22]Qingyun Zhu, Xiaoxian Wang, Hui Wang, Min Xia, Siliang Lu, Bingyou Liu, Guoli Li, Wenping Cao:
Real-Time Defect Detection of Die Cast Rotor in Induction Motor Based on Circular Flux Sensing Coils. IEEE Trans. Ind. Informatics 18(12): 9271-9282 (2022) - [j21]Xin Li, Haidong Shao, Siliang Lu, Jiawei Xiang, Baoping Cai:
Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7328-7340 (2022) - [c2]Siliang Lu, Xiaoxian Wang, Bin Ju, Yongbin Liu, Feng Xie, Min Xia:
An Experimental Case Study for the Course of 'Testing Technology and Data Processing'. ICCSE (3) 2022: 220-230 - 2021
- [j20]Heng Sun, Min Xia, Yawei Hu, Siliang Lu, Yongbin Liu, Qunjing Wang:
A new sorting feature-based temporal convolutional network for remaining useful life prediction of rotating machinery. Comput. Electr. Eng. 95: 107413 (2021) - [j19]Min Xia, Haidong Shao, Darren Williams, Siliang Lu, Lei Shu, Clarence W. de Silva:
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning. Reliab. Eng. Syst. Saf. 215: 107938 (2021) - [j18]Fang Liu, Haidong Huang, Yongbin Liu, Bing He, Xiaowen Dong, Siliang Lu, Bin Ju, Zheng Cao:
Performance Degradation Assessment for Coaxial Bearings Using Kernel JADE and Two-Class Model. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j17]Changbo He, Jérôme Antoni, Alessandro Paolo Daga, Hongkun Li, Ning Chu, Siliang Lu, Zhixiong Li:
An Improved Key-Phase-Free Blade Tip-Timing Technique for Nonstationary Test Conditions and Its Application on Large-Scale Centrifugal Compressor Blades. IEEE Trans. Instrum. Meas. 70: 1-16 (2021) - [j16]Fang Liu, Ruixiang Wu, Fanrong Teng, Yongbin Liu, Siliang Lu, Bin Ju, Zheng Cao:
A Two-Stage Learning Model for Track-Side Acoustic Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j15]Xiaoxian Wang, Siliang Lu, Wen-bing Huang, Qunjing Wang, Shiwu Zhang, Min Xia:
Efficient Data Reduction at the Edge of Industrial Internet of Things for PMSM Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j14]Qiang Xue, Boyu Xu, Changbo He, Fang Liu, Bin Ju, Siliang Lu, Yongbin Liu:
Feature Extraction Using Hierarchical Dispersion Entropy for Rolling Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c1]Qingsong Yin, Feifei Wang, Siliang Lu, Yuan Fan, Yongbin Liu, Guoli Li:
Research on Balance Control of Cube Robot. RCAR 2021: 462-467 - 2020
- [j13]Fang Liu, Liubin Li, Yongbin Liu, Zheng Cao, Hui Yang, Siliang Lu:
HKF-SVR Optimized by Krill Herd Algorithm for Coaxial Bearings Performance Degradation Prediction. Sensors 20(3): 660 (2020) - [j12]Xiaoxian Wang, Siliang Lu, Shiwu Zhang:
Rotating Angle Estimation for Hybrid Stepper Motors With Application to Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 69(8): 5556-5568 (2020)
2010 – 2019
- 2019
- [j11]Donghui Pan, Siliang Lu, Yongbin Liu, Wenzhi Yang, Jia-Bao Liu:
Degradation Data Analysis Using a Wiener Degradation Model With Three-Source Uncertainties. IEEE Access 7: 37896-37907 (2019) - [j10]Omer Tugrul Karaguzel, Mohammed Elshambakey, Yimin Zhu, Tianzhen Hong, William J. Tolone, Sreyasee Das Bhattacharjee, Isaac Cho, Wenwen Dou, Haopeng Wang, Siliang Lu, Mohamed Khalefa, Yong Tao:
Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations. J. Comput. Civ. Eng. 33(6) (2019) - [j9]Siliang Lu, Yi Qin, Jun Hang, Baohua Zhang, Qunjing Wang:
Adaptively Estimating Rotation Speed From DC Motor Current Ripple for Order Tracking and Fault Diagnosis. IEEE Trans. Instrum. Meas. 68(3): 741-753 (2019) - [j8]Siliang Lu, Ruqiang Yan, Yongbin Liu, Qunjing Wang:
Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis. IEEE Trans. Instrum. Meas. 68(7): 2315-2332 (2019) - 2018
- [j7]Bin Ju, Haijiao Zhang, Yongbin Liu, Fang Liu, Siliang Lu, Zhijia Dai:
A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis. Entropy 20(4): 212 (2018) - 2017
- [j6]Siliang Lu, Qingbo He, Tao Yuan, Fanrang Kong:
Online Fault Diagnosis of Motor Bearing via Stochastic-Resonance-Based Adaptive Filter in an Embedded System. IEEE Trans. Syst. Man Cybern. Syst. 47(7): 1111-1122 (2017) - 2016
- [j5]Siliang Lu, Jie Guo, Qingbo He, Fang Liu, Yongbin Liu, Jiwen Zhao:
A Novel Contactless Angular Resampling Method for Motor Bearing Fault Diagnosis Under Variable Speed. IEEE Trans. Instrum. Meas. 65(11): 2538-2550 (2016) - 2015
- [j4]Siliang Lu, Qingbo He, Fanrang Kong:
Effects of underdamped step-varying second-order stochastic resonance for weak signal detection. Digit. Signal Process. 36: 93-103 (2015) - [j3]Haibin Zhang, Siliang Lu, Shangbin Zhang, Fanrang Kong:
A Data-Collection and Fault Diagnosis System of Train Bearing Based on the C# and Multi-Wireless-Terminal. J. Softw. 10(2): 201-212 (2015) - [j2]Kesai Ouyang, Siliang Lu, Shangbin Zhang, Haibin Zhang, Qingbo He, Fanrang Kong:
Online Doppler Effect Elimination Based on Unequal Time Interval Sampling for Wayside Acoustic Bearing Fault Detecting System. Sensors 15(9): 21075-21098 (2015) - 2014
- [j1]Siliang Lu, Qingbo He, Fei Hu, Fanrang Kong:
Sequential Multiscale Noise Tuning Stochastic Resonance for Train Bearing Fault Diagnosis in an Embedded System. IEEE Trans. Instrum. Meas. 63(1): 106-116 (2014)
Coauthor Index
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