Siliang Lu
Orcid: 0000-0002-7101-7948
According to our database1,
Siliang Lu
authored at least 44 papers
between 2014 and 2024.
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Bibliography
2024
Lightweight and intelligent model based on enhanced sparse filtering for rotating machine fault diagnosis.
Trans. Inst. Meas. Control, 2024
Diagnosis of Interturn Short Circuit Fault in BLDCM Based on Coupled High-Frequency Signal Injection.
IEEE Trans. Instrum. Meas., 2024
PMSLM Eccentricity Fault Diagnosis Based on Deep Feature Fusion of Stray Magnetic Field Signals.
IEEE Trans. Instrum. Meas., 2024
Multisource Deep Feature Fusion of Optimized Symmetrized Dot Patterns for SRM Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
Stiffness Matching of Cantilever Beam at Multipositions for Diaphragm Volume Pump Driving.
IEEE Trans. Instrum. Meas., 2024
Complex Power Quality Disturbance Recognition Research Based on Deep Complementary Fusion of 2-D Coding Transition.
IEEE Trans. Instrum. Meas., 2024
Diagnosis of High-Resistance Connection Faults in PMSMs Based on GMR and Deep Learning.
IEEE Trans. Ind. Electron., 2024
2023
Remaining useful life prediction of turbofan engine using global health degradation representation in federated learning.
Reliab. Eng. Syst. Saf., November, 2023
IEEE Internet Things J., July, 2023
DPMSLM Demagnetization Fault Detection Based on Texture Feature Analysis of Grayscale Fusion Image.
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.
IEEE Trans. Instrum. Meas., 2023
Compressed Channel-Based Edge Computing for Online Motor Fault Diagnosis With Privacy Protection.
IEEE Trans. Instrum. Meas., 2023
Real-Time Fault Diagnosis of Motor Bearing via Improved Cyclostationary Analysis Implemented onto Edge Computing System.
IEEE Trans. Instrum. Meas., 2023
Bearing Remaining Useful Life Prediction Using Federated Learning With Taylor-Expansion Network Pruning.
IEEE Trans. Instrum. Meas., 2023
Edge Solution for Real-Time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network.
IEEE Trans. Instrum. Meas., 2023
Noise-Boosted Convolutional Neural Network for Edge-Based Motor Fault Diagnosis With Limited Samples.
IEEE Trans. Ind. Informatics, 2023
Detection and Evaluation of the Interturn Short Circuit Fault in a BLDC-Based Hub Motor.
IEEE Trans. Ind. Electron., 2023
Real-Time Quality Inspection of Motor Rotor Using Cost-Effective Intelligent Edge System.
IEEE Internet Things J., 2023
Magnetic signal denoising based on auxiliary sensor array and deep noise reconstruction.
Eng. Appl. Artif. Intell., 2023
2022
Highly Efficient Fault Diagnosis of Rotating Machinery Under Time-Varying Speeds Using LSISMM and Small Infrared Thermal Images.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Real-Time Defect Detection of Die Cast Rotor in Induction Motor Based on Circular Flux Sensing Coils.
IEEE Trans. Ind. Informatics, 2022
Bearing Fault Diagnosis of Switched Reluctance Motor in Electric Vehicle Powertrain via Multisensor Data Fusion.
IEEE Trans. Ind. Informatics, 2022
An Experimental Case Study for the Course of 'Testing Technology and Data Processing'.
Proceedings of the Computer Science and Education - 17th International Conference, 2022
2021
Feature Extraction Using Hierarchical Dispersion Entropy for Rolling Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
Efficient Data Reduction at the Edge of Industrial Internet of Things for PMSM Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
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.
IEEE Trans. Instrum. Meas., 2021
Performance Degradation Assessment for Coaxial Bearings Using Kernel JADE and Two-Class Model.
IEEE Trans. Instrum. Meas., 2021
Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning.
Reliab. Eng. Syst. Saf., 2021
A new sorting feature-based temporal convolutional network for remaining useful life prediction of rotating machinery.
Comput. Electr. Eng., 2021
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
2020
Rotating Angle Estimation for Hybrid Stepper Motors With Application to Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2020
HKF-SVR Optimized by Krill Herd Algorithm for Coaxial Bearings Performance Degradation Prediction.
Sensors, 2020
2019
Tacholess Speed Estimation in Order Tracking: A Review With Application to Rotating Machine Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2019
Adaptively Estimating Rotation Speed From DC Motor Current Ripple for Order Tracking and Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2019
Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations.
J. Comput. Civ. Eng., 2019
Degradation Data Analysis Using a Wiener Degradation Model With Three-Source Uncertainties.
IEEE Access, 2019
2018
A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis.
Entropy, 2018
2017
Online Fault Diagnosis of Motor Bearing via Stochastic-Resonance-Based Adaptive Filter in an Embedded System.
IEEE Trans. Syst. Man Cybern. Syst., 2017
2016
A Novel Contactless Angular Resampling Method for Motor Bearing Fault Diagnosis Under Variable Speed.
IEEE Trans. Instrum. Meas., 2016
2015
Online Doppler Effect Elimination Based on Unequal Time Interval Sampling for Wayside Acoustic Bearing Fault Detecting System.
Sensors, 2015
A Data-Collection and Fault Diagnosis System of Train Bearing Based on the C# and Multi-Wireless-Terminal.
J. Softw., 2015
Effects of underdamped step-varying second-order stochastic resonance for weak signal detection.
Digit. Signal Process., 2015
2014
Sequential Multiscale Noise Tuning Stochastic Resonance for Train Bearing Fault Diagnosis in an Embedded System.
IEEE Trans. Instrum. Meas., 2014