Jay Lee

发表

Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics

Hai Qiu, Jay Lee, Jing Lin, 2006 .

A novel method for machine performance degradation assessment based on fixed cycle features test

Jay Lee, Linxia Liao, 2009 .

Discriminant diffusion maps analysis: A robust manifold learner for dimensionality reduction and its applications in machine condition monitoring and fault diagnosis

Jay Lee, Yixiang Huang, X. Zha, 2013 .

Degradation Assessment for Machinery Prognostics Using Hidden Markov Models

Hai Qiu, Jay Lee, H. Liao, 2005 .

A novel scalable method for machine degradation assessment using deep convolutional neural network

Xiaodong Jia, Pin Li, Jianshe Feng, 2020 .

Integrated E-maintenance and Intelligent Maintenance Systems

C. Emmanouilidis, Jay Lee, J. Ni, 2009 .

Investigation on the kurtosis filter and the derivation of convolutional sparse filter for impulsive signature enhancement

Jay Lee, Xiaodong Jia, Ming Zhao, 2017 .

Bayesian Belief Network-based approach for diagnostics and prognostics of semiconductor manufacturing systems

Lei Yang, Jay Lee, Jay Lee, 2012 .

A Novel Method for Deposit Accumulation Assessment in Dry Etching Chamber

Jay Lee, Pin Li, Xiaodong Jia, 2019, IEEE Transactions on Semiconductor Manufacturing.

Prognosability study of ball screw degradation using systematic methodology

Xiaodong Jia, Xiaodong Jia, Pin Li, 2018, Mechanical Systems and Signal Processing.

Prognostics for Ball Bearing Based on Neural Networks and Morlet Wavelet

Lifeng Xi, C. Richard Liu, Jay Lee, 2006 .

A simplified convolutional sparse filter for impulsive signature enhancement and its application to the prognostic of rotating machinery

Jay Lee, Xiaodong Jia, Ming Zhao, 2018, 1808.03587.

Evaluating Feature Selection and Anomaly Detection Methods of Hard Drive Failure Prediction

Xiang Li, Xiaodong Jia, Jay Lee, 2021, IEEE Transactions on Reliability.

Novel method for rolling element bearing health assessment—A tachometer-less synchronously averaged envelope feature extraction technique

Jay Lee, Linxia Liao, David Siegel, 2012 .

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

Jay Lee, Masoud Ghaffari, Linxia Liao, 2014 .

Fault detection in a network of similar machines using clustering approach

Jay Lee, Edzel Lapira, Jay Lee, 2012 .

A systematic review of machine learning algorithms for prognostics and health management of rolling element bearings: fundamentals, concepts and applications

Jay Lee, Jaskaran Singh, Moslem Azamfar, 2020, Measurement Science and Technology.

How to Establish Industrial AI Technology and Capability

Jay Lee, Jay Lee, 2020 .

A unified digital twin framework for shop floor design in industry 4.0 manufacturing systems

Behrad Bagheri, Moslem Azamfar, Jay Lee, 2021 .

Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing

Jay Lee, Jaskaran Singh, Moslem Azamfar, 2020 .

Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis

Jaskaran Singh, Moslem Azamfar, Jay Lee, 2020 .

Cyber-physical Systems Architecture for Self-Aware Machines in Industry 4.0 Environment

Jay Lee, Behrad Bagheri, Shanhu Yang, 2015 .

Deep learning-based cross-domain adaptation for gearbox fault diagnosis under variable speed conditions

Jay Lee, Jaskaran Singh, Moslem Azamfar, 2020, Measurement Science and Technology.

Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment

Jay Lee, Shanhu Yang, Hung-An Kao, 2014 .

Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods

Lifeng Xi, Jay Lee, Xinglin Li, 2007 .

SOUND TRANSMISSION THROUGH PERIODICALLY STIFFENED CYLINDRICAL SHELLS

Jay Kim, Joon-Hyun Lee, Jay Lee, 2002 .

Enhancing Intelligent Cross-Domain Fault Diagnosis Performance on Rotating Machines with Noisy Health Labels

Xiang Li, Jaskaran Singh, Jay Lee, 2020, Procedia Manufacturing.

Intracranial Pressure Monitoring Signals After Traumatic Brain Injury: A Narrative Overview and Conceptual Data Science Framework

Jay Lee, Xiaodong Jia, Laura Pahren, 2020, Frontiers in Neurology.

A virtual metrology method with prediction uncertainty based on Gaussian process for chemical mechanical planarization

Xiang Li, Jay Lee, Wenzhe Li, 2020, Comput. Ind..

An Online Virtual Metrology Model With Sample Selection for the Tracking of Dynamic Manufacturing Processes With Slow Drift

James Moyne, Jay Lee, Feng Zhu, 2019, IEEE Transactions on Semiconductor Manufacturing.

Adaptive virtual metrology for semiconductor chemical mechanical planarization process using GMDH-type polynomial neural networks

Yuan Di, Xiaodong Jia, Jianshe Feng, 2018 .

Quality analysis in metal additive manufacturing with deep learning

Jay Lee, Xiaodong Jia, Xiang Li, 2020, Journal of Intelligent Manufacturing.

Gaussian Process Regression for numerical wind speed prediction enhancement

Jay Lee, Wenzhe Li, Jianshe Feng, 2020 .

A combined filtering strategy for short term and long term wind speed prediction with improved accuracy

Jay Lee, Xiaodong Jia, Yudi Chen, 2019, Renewable Energy.

Multi-step wind speed prediction based on turbulence intensity and hybrid deep neural networks

Li Fei, Jay Lee, Guorui Ren, 2019, Energy Conversion and Management.

A blockchain enabled Cyber-Physical System architecture for Industry 4.0 manufacturing systems

Jay Lee, Jaskaran Singh, Moslem Azamfar, 2019, Manufacturing Letters.

A Digital Twin-based scheduling framework including Equipment Health Index and Genetic Algorithms

Marco Macchi, Jay Lee, Elisa Negri, 2019, IFAC-PapersOnLine.

Predictive Manufacturing System - Trends of Next-Generation Production Systems

Jay Lee, Edzel Lapira, Shanhu Yang, 2013 .

Recent advances and trends in predictive manufacturing systems in big data environment

Jay Lee, Behrad Bagheri, Edzel Lapira, 2013 .

Industrial Artificial Intelligence for industry 4.0-based manufacturing systems

Jay Lee, Jaskaran Singh, Hossein Davari, 2018, Manufacturing Letters.

Convolutional Neural Network Based Rolling-Element Bearing Fault Diagnosis for Naturally Occurring and Progressing Defects Using Time-Frequency Domain Features

Jay Lee, Jaskaran Singh, Vibhor Pandhare, 2019, 2019 Prognostics and System Health Management Conference (PHM-Paris).

On-line monitoring of boring tools for control of boring operations

Jay Lee, T. I. Liu, Akihiko Kumagai, 2010 .

Wind turbine performance degradation assessment based on a novel similarity metric for machine performance curves

Jay Lee, Wei Wang, Chao Jin, 2016 .

Empirical analysis of support vector machine ensemble classifiers

Lin Ma, Lifeng Xi, Yan Chen, 2009, Expert Syst. Appl..

Deep Learning-Based Intelligent Defect Detection of Cutting Wheels with Industrial Images in Manufacturing

Xiaodong Jia, Xiang Li, Jay Lee, 2020, Procedia Manufacturing.

Field-synchronized Digital Twin framework for production scheduling with uncertainty

Marco Macchi, Elisa Negri, Jaskaran Singh, 2020, Journal of Intelligent Manufacturing.

A compound interpolation envelope local mean decomposition and its application for fault diagnosis of reciprocating compressors

Wang Jindong, Jay Lee, Jay Lee, 2018, Mechanical Systems and Signal Processing.

Industrial Remaining Useful Life Prediction by Partial Observation Using Deep Learning With Supervised Attention

Xiaodong Jia, Xiang Li, Jay Lee, 2020, IEEE/ASME Transactions on Mechatronics.

Intelligent ball screw fault diagnosis using a deep domain adaptation methodology

Xiang Li, Jay Lee, Moslem Azamfar, 2020 .

Self-maintenance and engineering immune systems: Towards smarter machines and manufacturing systems

Jay Lee, M. Ghaffari, S. Elmeligy, 2011, Annu. Rev. Control..

Wind turbine performance assessment using multi-regime modeling approach

Jay Lee, Hossein Davari Ardakani, Edzel Lapira, 2012 .

Designing an Artificial Immune Systems for Intelligent Maintenance Systems

Carlos Eduardo Pereira, Jay Lee, Sergio Cavalieri, 2015 .

Methodology for Ball Screw Component Health Assessment and Failure Analysis

Jay Lee, Yan Chen, Wenjing Jin, 2013 .

Development of An Integrated Framework for Cyber Physical System (CPS)-Enabled Rehabilitation System

Jay Lee, Pin Li, Feng Zhu, 2021, International Journal of Prognostics and Health Management.

Instantaneous speed jitter detection via encoder signal and its application for the diagnosis of planetary gearbox

Yaguo Lei, Ming Zhao, Xiaodong Jia, 2018 .

Evaluating wheel loader operating conditions based on radar chart

Jay Lee, Shaojie W.A.N.G., Liang H.O.U., 2017 .

Opportunistic preventive maintenance scheduling for a multi-unit series system based on dynamic programming

Xiaojun Zhou, Lifeng Xi, Jay Lee, 2009 .

Condition-based maintenance for intelligent monitored series system with independent machine failure modes

Xiaojun Zhou, Tangbin Xia, Lifeng Xi, 2013 .

A dynamic opportunistic maintenance policy for continuously monitored systems

Xiaojun Zhou, Lifeng Xi, Jay Lee, 2006 .

Deep Learning-Based Intelligent Process Monitoring of Directed Energy Deposition in Additive Manufacturing with Thermal Images

Yachao Wang, Xiang Li, Jing Shi, 2020, Procedia Manufacturing.

Optimal CBPM policy considering maintenance effects and environmental condition

Xiaojun Zhou, Tangbin Xia, Lifeng Xi, 2011 .

Bayesian optimal design of step stress accelerated degradation testing

Mohamed AbuAli, Xiaoyang Li, Zhengzheng Ge, 2015 .

Collaborative Prognostics for Machine Fleets Using a Novel Federated Baseline Learner

Jay Lee, Xiaodong Jia, Vibhorpandhare, 2021, Annual Conference of the PHM Society.

A comparative study on vibration‐based condition monitoring algorithms for wind turbine drive trains

Mohamed AbuAli, Jay Lee, Edzel Lapira, 2014 .

A Cyber Physical Interface for Automation Systems—Methodology and Examples

Jay Lee, David, Hung-An Kao, 2015 .

Quality prediction modeling for multistage manufacturing based on classification and association rule mining

Jay Lee, Hung-An Kao, Yan-Shou Hsieh, 2017 .

Jay Lee, Xiaodong Jia, Wenzhe Li, 2020, ISA transactions.

Deep Learning-Based Domain Adaptation Method for Fault Diagnosis in Semiconductor Manufacturing

Jay Lee, Xiang Li, Moslem Azamfar, 2020, IEEE Transactions on Semiconductor Manufacturing.

Industrial Artificial Intelligence pdf

Jay Lee, Moslem Azamfar, Jaskaran Singh, 2019, ArXiv.

Multi-phase preventive maintenance policy for leased equipment

Xiaojun Zhou, Lifeng Xi, Jay Lee, 2015 .

A unified Bayesian filtering framework for multi-horizon wind speed prediction with improved accuracy

Qibo Yang, Xiaodong Jia, Jay Lee, 2021 .

A Systematic Methodology for Gearbox Health Assessment and Fault Classification

David Siegel, Hassan Al-Atat, Jay Lee, 2009 .

A unified data security framework for federated prognostics and health management in smart manufacturing

Behrad Bagheri, Jay Lee, Maryam Rezapoor, 2020 .

Cross Trajectory Gaussian Process Regression Model for Battery Health Prediction

Xiang Li, Xiaodong Jia, Jay Lee, 2020, Journal of Modern Power Systems and Clean Energy.

A Mobility Performance Assessment on Plug-in EV Battery

Yixiang Huang, Jay Lee, Jay Lee, 2020 .

Innovative Product Advanced Service Systems (I-PASS): methodology, tools, and applications for dominant service design

Jay Lee, Mohamed AbuAli, Jay Lee, 2011 .

Design of self-maintenance and engineering immune systemsfor smarter machines and manufacturing systems

Jay Lee, Jay Lee, 2010 .

Logistic Regression-based Machine Health Assessment Method on Application of Smart Machine Tool

Jay Lee, Linxia Liao, Brian Huang, 2006 .

An online adaptive condition-based maintenance method for mechanical systems

Tianyi Wang, Fangji Wu, Jay Lee, 2010 .

Fault Diagnosis of Ball Screw in Industrial Robots Using Non-Stationary Motor Current Signals

Xiang Li, Jay Lee, Yinglu Wang, 2020, Procedia Manufacturing.

Fault prognosis of industrial robots in dynamic working regimes: Find degradation in variations

Xiang Li, Qibo Yang, Haoshu Cai, 2020 .