Vibhor Pandhare 2021 Domain-based Collaborative Learning for Enhanced Health Management of Distributed Industrial Assets Collaborative Learning; Federated Learning; Domain Adaptation; Expectation Maximization; Data Privacy; Prognostics
Azamfar, Moslem 2021 Deep Learning-based Domain Adaptation Methodology for Fault Diagnosis of Complex Manufacturing Systems Transfer Learning; Fault Diagnosis; Deep Learning; Gearbox; Ball Screw; Semiconductor
Yang, Qibo 2020 A Transfer Learning Methodology of Domain Generalization for Prognostics and Health Management Prognostics And Health Management; Transfer Learning; Domain Generalization; Maximum Mean Discrepancy; Neural Networks
Li, Pin 2020 A Systematic Methodology for Developing Robust Prognostic Models Suitable for Large-Scale Deployment Prognostic; Large-Scale Deployment; Feature Selection; Transfer Learning; Deep Learning; Robust Model
Feng, Jianshe 2020 Methodology of Adaptive Prognostics and Health Management in Dynamic Work Environment Adaptive PHM; Sample selection; Sample Importance test; Online Modeling; Sequential Model Updating 
Bagheri, Behrad 2020 Decentralized Federated Autonomous Organizations for Prognostics and Health Management Federated Learning; Prognostics and Health Management; PHM; Homomorphic Encryption; Blockchain; Machine Learning
Kao, Hung-An 2018 Quality Prediction Modeling for Multistage Manufacturing using Classification and Association Rule Mining Techniques Quality Prediction; Multistage Manufacturing System; Association Rule Mining; Classification
Jia, Xiaodong 2018 Data Suitability Assessment and Enhancement for Machine Prognostics and Health Management Using Maximum Mean Discrepancy Data Suitability; Machine Learning; Data Quality; Prognostics and Health Management; Aero-Engine
Shi, Zhe 2018 Semi-supervised Ensemble Learning Methods for Enhanced Prognostics and Health Management

Regression; Classification; PHM; Semi-Supervised Ensemble Learning; Unlabeled Samples; Insufficient Training Data Set

Di, Yuan 2018 Enhanced System Health Assessment using Adaptive Self-Learning Techniques Health Assessment; Self Learning; Adaptive Learning; Pattern Recognition; Machine Learning
Liu, Zongchang 2018 Cyber-Physical System Augmented Prognostics and Health Management for Fleet-Based Systems Prognostics And Health Management; Cyber-Physical Systems; Networked And Fleet-Sourced Systems; Data-Driven PHM
Jin, Chao 2017 Methodology on Exact Extraction of Time Series Features for Robust Prognostics and Health Monitoring

Prognostics And Health Management; Time Series Pattern Recognition; Machine Learning; Artificial Intelligence; Data-Driven 

Jin, Wenjing 2016 Modeling of Machine Life Using Accelerated Prognostics and Health Management (APHM) and Enhanced Deep Learning Methodology Prognostics and Health Management; Accelerated Life Testing; Deep Learning; Restricted Boltzmann Machine; RUL Prediction; Condition Monitoring
Davari Ardakani, Hossein 2016 Prognostics and Health Management of Engineering Systems Using Minimal Sensing Techniques Minimal-sensing Techniques; Manufacturing Process Monitoring; Motor Current Signature Analysis; Prognostics and Health Management; Gearbox Fault Diagnosis; Similarity-based Technique
Yang, Shanhu 2016 An Adaptive Prognostic Methodology and System Framework for Engineering Systems under Dynamic Working Regimes

Prognostics and Health Management; Adaptive Learning; Accelerated Life Testing; Cloud Computing

Rezvanizaniani, Seyed Mohammad 2015 Probabilistic Based Classification Techniques for Improved Prognostics Using Time Series Data Prognostics; Classification; Diagnostics; Battery; Preventive Maintenance; Electric Vehicle
Zhao, Wenyu 2015 A Probabilistic Approach for Prognostics of Complex Rotary Machinery Systems Prognostics; PHM; Bayesian Network; Wind Turbine; Jet Engine; Prediction
Siegel, David 2013 Prognostics and Health Assessment of a Multi-Regime System using a Residual Clustering Health Monitoring Approach

Prognostics and Health Management; Accelerated Life Testing; Deep Learning; Restricted Boltzmann Machine; RUL Prediction; Condition Monitoring

Lapira, Edzel 2012 Fault Detection in a Network of Similar Machines using Clustering Approach

Fault Detection; Wind Turbines; Performance Assessment; Industrial Robots; Fleet Prognostics 

Chen, Yan 2012 Data Quality Assessment Methodology for Improved Prognostics Modeling Prognostics and Health Management; Data Quality; Laplacian Eigenmap; diagnostic modeling; Feature Ranking; Outlier Detection
Yang, Lei 2011 Methodology of Prognostics Evaluation for Multiprocess Manufacturing Systems

Semiconductor Manufacturing; Predictive Maintenance; Fault Prediction; Remaining Useful Life Estimation; Predictability Assessment 

Wang, Tianyi 2011 Trajectory Similarity Based Prediction for Remaining Useful Life Estimation

Prognostics and Health Management; Remaining Useful Life; Instance Based Learning; Kernel Regression; Kernel Density Estimation; Radial Basis Function

Liao, Linxia 2010 An Adaptive Modeling for Robust Prognostics on a Reconfigurable Platform Prognostics; Adaptive Modeling; Reconfigurable Platform