Dissertations
| AUTHOR NAME | YEAR | TITLE | KEYWORDS |
| 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 |