Sequential Multiscale Noise Tuning Stochastic Resonance for Train Bearing Fault Diagnosis in an Embedded System. - Siliang Lu; Qingbo He; Fei Hu; Fanrang Kong (IEEE Trans. Instrum. Meas., 2014)

Effects of underdamped step-varying second-order stochastic resonance for weak signal detection. - Siliang Lu; Qingbo He; Fanrang Kong (Digit. Signal Process., 2015)

A Data-Collection and Fault Diagnosis System of Train Bearing Based on the C# and Multi-Wireless-Terminal. - Haibin Zhang; Siliang Lu; Shangbin Zhang; Fanrang Kong (J. Softw., 2015)

Online Doppler Effect Elimination Based on Unequal Time Interval Sampling for Wayside Acoustic Bearing Fault Detecting System. - Kesai Ouyang; Siliang Lu; Shangbin Zhang; Haibin Zhang; Qingbo He; Fanrang Kong (Sensors, 2015)

A Novel Contactless Angular Resampling Method for Motor Bearing Fault Diagnosis Under Variable Speed. - Siliang Lu; Jie Guo 003; Qingbo He; Fang Liu 003; Yongbin Liu; Jiwen Zhao (IEEE Trans. Instrum. Meas., 2016)

Online Fault Diagnosis of Motor Bearing via Stochastic-Resonance-Based Adaptive Filter in an Embedded System. - Siliang Lu; Qingbo He; Tao Yuan; Fanrang Kong (IEEE Trans. Syst. Man Cybern. Syst., 2017)

A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis. - Bin Ju; Haijiao Zhang; Yongbin Liu; Fang Liu 003; Siliang Lu; Zhijia Dai (Entropy, 2018)

Degradation Data Analysis Using a Wiener Degradation Model With Three-Source Uncertainties. - Donghui Pan; Siliang Lu; Yongbin Liu; Wenzhi Yang; Jia-Bao Liu (IEEE Access, 2019)

Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations. - 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 (J. Comput. Civ. Eng., 2019)

Adaptively Estimating Rotation Speed From DC Motor Current Ripple for Order Tracking and Fault Diagnosis. - Siliang Lu; Yi Qin 004; Jun Hang; Baohua Zhang; Qunjing Wang (IEEE Trans. Instrum. Meas., 2019)

Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis. - Siliang Lu; Ruqiang Yan 001; Yongbin Liu; Qunjing Wang (IEEE Trans. Instrum. Meas., 2019)

HKF-SVR Optimized by Krill Herd Algorithm for Coaxial Bearings Performance Degradation Prediction. - Fang Liu 003; Liubin Li; Yongbin Liu; Zheng Cao 006; Hui Yang; Siliang Lu (Sensors, 2020)

Rotating Angle Estimation for Hybrid Stepper Motors With Application to Bearing Fault Diagnosis. - Xiaoxian Wang; Siliang Lu; Shiwu Zhang (IEEE Trans. Instrum. Meas., 2020)

Research on Balance Control of Cube Robot. - Qingsong Yin; Feifei Wang; Siliang Lu; Yuan Fan; Yongbin Liu; Guoli Li 001 (RCAR, 2021)

A new sorting feature-based temporal convolutional network for remaining useful life prediction of rotating machinery. - Heng Sun; Min Xia 001; Yawei Hu; Siliang Lu; Yongbin Liu; Qunjing Wang (Comput. Electr. Eng., 2021)

Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning. - Min Xia 001; Haidong Shao; Darren Williams; Siliang Lu; Lei Shu 001; Clarence W. de Silva (Reliab. Eng. Syst. Saf., 2021)

Performance Degradation Assessment for Coaxial Bearings Using Kernel JADE and Two-Class Model. - Fang Liu 003; Haidong Huang; Yongbin Liu; Bing He; Xiaowen Dong 002; Siliang Lu; Bin Ju; Zheng Cao 006 (IEEE Trans. Instrum. Meas., 2021)

An Improved Key-Phase-Free Blade Tip-Timing Technique for Nonstationary Test Conditions and Its Application on Large-Scale Centrifugal Compressor Blades. - Changbo He; Jérôme Antoni; Alessandro Paolo Daga; Hongkun Li; Ning Chu; Siliang Lu; Zhixiong Li 001 (IEEE Trans. Instrum. Meas., 2021)

A Two-Stage Learning Model for Track-Side Acoustic Bearing Fault Diagnosis. - Fang Liu 003; Ruixiang Wu; Fanrong Teng; Yongbin Liu; Siliang Lu; Bin Ju; Zheng Cao 006 (IEEE Trans. Instrum. Meas., 2021)

Efficient Data Reduction at the Edge of Industrial Internet of Things for PMSM Bearing Fault Diagnosis. - Xiaoxian Wang; Siliang Lu; Wen-bing Huang 001; Qunjing Wang; Shiwu Zhang; Min Xia 001 (IEEE Trans. Instrum. Meas., 2021)

Feature Extraction Using Hierarchical Dispersion Entropy for Rolling Bearing Fault Diagnosis. - Qiang Xue; Boyu Xu 004; Changbo He; Fang Liu 003; Bin Ju; Siliang Lu; Yongbin Liu (IEEE Trans. Instrum. Meas., 2021)

An Experimental Case Study for the Course of 'Testing Technology and Data Processing'. - Siliang Lu; Xiaoxian Wang; Bin Ju; Yongbin Liu; Feng Xie; Min Xia 001 (ICCSE (3), 2022)

Bearing Fault Diagnosis of Switched Reluctance Motor in Electric Vehicle Powertrain via Multisensor Data Fusion. - Xiaoxian Wang; Siliang Lu; Kang Chen; Qunjing Wang; Shiwu Zhang (IEEE Trans. Ind. Informatics, 2022)

Real-Time Defect Detection of Die Cast Rotor in Induction Motor Based on Circular Flux Sensing Coils. - Qingyun Zhu; Xiaoxian Wang; Hui Wang 032; Min Xia 001; Siliang Lu; Bingyou Liu; Guoli Li 001; Wenping Cao (IEEE Trans. Ind. Informatics, 2022)

Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images. - Xin Li 095; Haidong Shao; Siliang Lu; Jiawei Xiang; Baoping Cai (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Magnetic signal denoising based on auxiliary sensor array and deep noise reconstruction. - Xiaoxian Wang; Shiwu Zhang; Juncai Song; Yongbin Liu; Siliang Lu (Eng. Appl. Artif. Intell., 2023)

Real-Time Quality Inspection of Motor Rotor Using Cost-Effective Intelligent Edge System. - Qingyun Zhu; Jingfeng Lu; Xiaoxian Wang; Hui Wang 032; Siliang Lu; Clarence W. de Silva; Min Xia 001 (IEEE Internet Things J., 2023)

Detection and Evaluation of the Interturn Short Circuit Fault in a BLDC-Based Hub Motor. - Hui Wang 032; Jiliang Wang; Xiaoxian Wang; Siliang Lu; Cungang Hu; Wenping Cao (IEEE Trans. Ind. Electron., 2023)

Noise-Boosted Convolutional Neural Network for Edge-Based Motor Fault Diagnosis With Limited Samples. - Lv Chen; Kang An; Dali Huang; Xiaoxian Wang; Min Xia 001; Siliang Lu (IEEE Trans. Ind. Informatics, 2023)

Edge Solution for Real-Time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network. - Kang An; Jingfeng Lu; Quanjing Zhu; Xiaoxian Wang; Clarence W. de Silva; Min Xia 001; Siliang Lu (IEEE Trans. Instrum. Meas., 2023)

Bearing Remaining Useful Life Prediction Using Federated Learning With Taylor-Expansion Network Pruning. - Xi Chen 097; Hui Wang 032; Siliang Lu; Ruqiang Yan 001 (IEEE Trans. Instrum. Meas., 2023)

Real-Time Fault Diagnosis of Motor Bearing via Improved Cyclostationary Analysis Implemented onto Edge Computing System. - Changbo He; Pengpeng Han; Jingfeng Lu; Xiaoxian Wang; Juncai Song; Zhixiong Li 001; Siliang Lu (IEEE Trans. Instrum. Meas., 2023)

Compressed Channel-Based Edge Computing for Online Motor Fault Diagnosis With Privacy Protection. - Jingfeng Lu; Kang An; Xiaoxian Wang; Juncai Song; Feng Xie; Siliang Lu (IEEE Trans. Instrum. Meas., 2023)

An Adversarial Multisource Data Subdomain Adaptation Model: A Promising Tool for Fault Diagnosis of Induction Motor Under Cross-Operating Conditions. - Jiancong Shi; Xinglong Wang; Siliang Lu; Jinde Zheng; Hui Dong; Jun Zhang 046 (IEEE Trans. Instrum. Meas., 2023)

DPMSLM Demagnetization Fault Detection Based on Texture Feature Analysis of Grayscale Fusion Image. - Juncai Song; Shuo Liu; Zhangling Duan; Xianhong Wu; Wei Ding; Xiaoxian Wang; Siliang Lu (IEEE Trans. Instrum. Meas., 2023)

Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review. - Siliang Lu; Jingfeng Lu; Kang An; Xiaoxian Wang; Qingbo He (IEEE Internet Things J., 2023)

Remaining useful life prediction of turbofan engine using global health degradation representation in federated learning. - Xi Chen 097; Hui Wang 032; Siliang Lu; Jiawen Xu; Ruqiang Yan 001 (Reliab. Eng. Syst. Saf., 2023)

Diagnosis of High-Resistance Connection Faults in PMSMs Based on GMR and Deep Learning. - Wenping Cao; Haohua Li 005; Cungang Hu; Hui Wang 032; Rongqing Huang; Siliang Lu; Xiaoyan Huang (IEEE Trans. Ind. Electron., 2024)

Complex Power Quality Disturbance Recognition Research Based on Deep Complementary Fusion of 2-D Coding Transition. - Zhangling Duan; Zhi Peng; Juncai Song; Xun Yang 001; Siliang Lu (IEEE Trans. Instrum. Meas., 2024)

Stiffness Matching of Cantilever Beam at Multipositions for Diaphragm Volume Pump Driving. - Bin Ju; Chao An; Yuzhi Gao; Ke Zhang; Siliang Lu; Yongbin Liu (IEEE Trans. Instrum. Meas., 2024)

Multisource Deep Feature Fusion of Optimized Symmetrized Dot Patterns for SRM Fault Diagnosis. - Juncai Song; Houhong Han; Xianhong Wu; Jingfeng Lu; Xiaoxian Wang; Siliang Lu (IEEE Trans. Instrum. Meas., 2024)

PMSLM Eccentricity Fault Diagnosis Based on Deep Feature Fusion of Stray Magnetic Field Signals. - Juncai Song; Xianhong Wu; Long Qian; Wenjun Lv; Xiaoxian Wang; Siliang Lu (IEEE Trans. Instrum. Meas., 2024)

Diagnosis of Interturn Short Circuit Fault in BLDCM Based on Coupled High-Frequency Signal Injection. - Hui Wang 032; Zhenyu Wu 008; Fatang Zhou; Wenping Cao; Cungang Hu; Siliang Lu (IEEE Trans. Instrum. Meas., 2024)

Lightweight and intelligent model based on enhanced sparse filtering for rotating machine fault diagnosis. - Yunhan Ling; Dianyu Fu; Peng Jiang; Yong Sun; Chao Yuan; Dali Huang; Jingfeng Lu; Siliang Lu (Trans. Inst. Meas. Control, 2024)

Bearing Remaining Useful Life Prediction Using Client Selection and Personalized Aggregation Enhancement in Federated Learning. - Xi Chen 097; Siliang Lu; Hui Wang 032; Ruqiang Yan 001 (IEEE Internet Things J., 2024)

WTC-iPST: A deep learning framework for short-term electric load forecasting with multi-scale feature extraction. - Yi Ji; Yongyuan Zhu; Siliang Lu; Lixia Yang; Alan Wee-Chung Liew (Knowl. Based Syst., 2025)

Fault Diagnosis of Linear Motion Guide System in PMSLM via STFC-RN Implemented on Edge Computing Node. - Xiaoxian Wang; Yanping Wu; Miao He; Juncai Song; Xianhong Wu; Zhiyong Hu; Siliang Lu (IEEE Trans. Instrum. Meas., 2025)

Detection of Structure Deformation and Insulation Condition for Transformer Windings Based on High-Voltage Oscillating Wave. - Zhenyu Wu 008; Jianxiong Tao; Yongbin Liu; Tao He; Siliang Lu (IEEE Trans. Instrum. Meas., 2025)

Intelligent Fault Classification Exploration Inspired by Suprathreshold Stochastic Resonance. - Ziheng Xu; Siliang Lu; Yanmei Kang; Jun Jiang 002 (IEEE Trans. Instrum. Meas., 2025)

GelEvent - A Novel High-Speed Tactile Sensor With Event Camera. - Dong Yin; Siliang Lu; Jun Yang 054; Yang Zhang 128; Zhiwei Dai; De Nan; Bolin Cai; Shuping He; Xiangcheng Chen (IEEE Trans. Instrum. Meas., 2025)

DPMSLM Demagnetization Fault Diagnosis Based on Deep Feature Fusion of External Stray Flux Signal. - Juncai Song; Fei Li; Jiwen Zhao; Lijun Wang; Xianhong Wu; Xiaoxian Wang; Yu Zhang 001; Siliang Lu (IEEE Trans. Ind. Informatics, 2025)

Unknown Fault Diagnosis of Motors Based on Incremental Learning and Edge Computing. - Jingfeng Lu; Siliang Lu; Jiawen Xu; Ruqiang Yan 001 (IEEE Internet Things J., 2025)