Steven Y. Liang

According to our database1, Steven Y. Liang authored at least 42 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
Temperature monitoring system of friction stir welding based on digital twin.
Int. J. Comput. Integr. Manuf., August, 2024

Temperature prediction of FSW medium thickness 2219 aluminium alloy based on intelligent algorithm.
Int. J. Manuf. Res., 2024

2023
Classification of Tool Wear State based on Dual Attention Mechanism Network.
Robotics Comput. Integr. Manuf., October, 2023

Surface roughness prediction framework for flank milling Ti6Al4V alloy based on CLBAS-BP algorithm.
Int. J. Comput. Integr. Manuf., June, 2023

An approach for tool wear prediction using customized DenseNet and GRU integrated model based on multi-sensor feature fusion.
J. Intell. Manuf., February, 2023

2022
Tool wear state recognition based on feature selection method with whitening variational mode decomposition.
Robotics Comput. Integr. Manuf., 2022

Prediction model of cutting force in micro-milling single crystal copper.
Int. J. Manuf. Res., 2022

2021
Comprehensive testing and performance evaluation of chain-type tool magazine and ATC.
Int. J. Manuf. Res., 2021

2020
Simulation of a micro-milling single crystal copper process based on crystal plastic constitutive theory.
Simul., 2020

Correction: Li, Q.; Liang, S.Y. Incipient Fault Diagnosis of Rolling Bearings Based on Impulse-Step Impact Dictionary and Re-Weighted Minimizing Nonconvex Penalty Lq Regular Technique. Entropy 2017, 19, 421.
Entropy, 2020

2019
Experimental study of the effect of light source spot size on measure error of PSD.
Int. J. Manuf. Res., 2019

2018
Weak Fault Detection for Gearboxes Using Majorization-Minimization and Asymmetric Convex Penalty Regularization.
Symmetry, 2018

Intelligent Prognostics of Degradation Trajectories for Rotating Machinery Based on Asymmetric Penalty Sparse Decomposition Model.
Symmetry, 2018

Simultaneous optimization of fixture and cutting parameters of thin-walled workpieces based on particle swarm optimization algorithm.
Simul., 2018

A new algorithm based on evolutionary computation for hierarchically coupled constraint optimization: methodology and application to assembly job-shop scheduling.
J. Sched., 2018

Strain hardening properties and the relationship between strain and hardness of Inconel 718.
Int. J. Manuf. Res., 2018

Multichannel Signals Reconstruction Based on Tunable <i>Q</i>-Factor Wavelet Transform-Morphological Component Analysis and Sparse Bayesian Iteration for Rotating Machines.
Entropy, 2018

Weak Fault Detection of Tapered Rolling Bearing Based on Penalty Regularization Approach.
Algorithms, 2018

Degradation Trend Prediction for Rotating Machinery Using Long-Range Dependence and Particle Filter Approach.
Algorithms, 2018

Prognosis of Bearing Degradation Using Gradient Variable Forgetting Factor RLS Combined With Time Series Model.
IEEE Access, 2018

Multiple Faults Detection for Rotating Machinery Based on Bicomponent Sparse Low-Rank Matrix Separation Approach.
IEEE Access, 2018

Degradation Trend Prognostics for Rolling Bearing Using Improved R/S Statistic Model and Fractional Brownian Motion Approach.
IEEE Access, 2018

Adaptive Remaining Useful Life Prediction Algorithm for Bearings.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

High Performance Remaining Useful Life Prediction for Gearbox.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017
Incipient Fault Diagnosis of Rolling Bearings Based on Impulse-Step Impact Dictionary and Re-Weighted Minimizing Nonconvex Penalty Lq Regular Technique.
Entropy, 2017

Incipient Fault Feature Extraction for Rotating Machinery Based on Improved AR-Minimum Entropy Deconvolution Combined with Variational Mode Decomposition Approach.
Entropy, 2017

A Portable Prognostic System for Bearing Monitoring.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016
Predicting the effects of cutting fluid on machining force, temperature and residual stress using analytical method.
Int. J. Comput. Appl. Technol., 2016

Long Range Dependence Prognostics for Bearing Vibration Intensity Chaotic Time Series.
Entropy, 2016

2013
Predictive modeling of machining residual stresses considering tool edge effects.
Prod. Eng., 2013

2009
Characterising the topography of a micro-grinding wheel.
Int. J. Manuf. Res., 2009

2008
Workpiece dynamics during stable cutting in a turning operation.
Int. J. Manuf. Res., 2008

2007
Microgrinding force predictive modelling based on microscale single grain interaction analysis.
Int. J. Manuf. Technol. Manag., 2007

Optimisation of the finish hard turning process for hardened 52100 steel with PCBN tools.
Int. J. Manuf. Res., 2007

Handling constraints for manufacturing process optimisation using genetic algorithms.
Int. J. Comput. Appl. Technol., 2007

2006
Evolutionary Optimization of Machining Processes.
J. Intell. Manuf., 2006

Precision Machining with Micro-Scale Vertical Machining Center.
J. Adv. Comput. Intell. Intell. Informatics, 2006

Modelling of linear motor feed drives for grinding machines.
Int. J. Manuf. Res., 2006

Cutting fluid aerosol generation in near-dry turning.
Int. J. Manuf. Res., 2006

2005
An integrated approach to bearing fault diagnostics and prognostics.
Proceedings of the American Control Conference, 2005

2004
An Optical Coordinate Measuring Machine for Nanoscale Dimensional Metrology.
J. Adv. Comput. Intell. Intell. Informatics, 2004

2002
Power feedback control in cylindrical plunge grinding with an inner repetitive position control loop.
Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 2002


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