| Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications J Lee, F Wu, W Zhao, M Ghaffari, L Liao, D Siegel Mechanical systems and signal processing 42 (1-2), 314-334, 2014 | 1662 | 2014 |
| A similarity-based prognostics approach for remaining useful life estimation of engineered systems T Wang, J Yu, D Siegel, J Lee 2008 international conference on prognostics and health management, 1-6, 2008 | 625 | 2008 |
| Wind turbine performance assessment using multi-regime modeling approach E Lapira, D Brisset, HD Ardakani, D Siegel, J Lee Renewable Energy 45, 86-95, 2012 | 170 | 2012 |
| Methodology and framework for predicting helicopter rolling element bearing failure D Siegel, C Ly, J Lee IEEE Transactions on Reliability 61 (4), 846-857, 2012 | 88 | 2012 |
| The present status and future growth of maintenance in US manufacturing: results from a pilot survey X Jin, D Siegel, BA Weiss, E Gamel, W Wang, J Lee, J Ni Manufacturing review 3, 2016 | 78 | 2016 |
| A comparative study on vibration‐based condition monitoring algorithms for wind turbine drive trains D Siegel, W Zhao, E Lapira, M AbuAli, J Lee Wind energy 17 (5), 695-714, 2014 | 74 | 2014 |
| Novel method for rolling element bearing health assessment—A tachometer-less synchronously averaged envelope feature extraction technique D Siegel, H Al-Atat, V Shauche, L Liao, J Snyder, J Lee Mechanical Systems and Signal Processing 29, 362-376, 2012 | 71 | 2012 |
| A cyber physical interface for automation systems—methodology and examples HA Kao, W Jin, D Siegel, J Lee Machines 3 (2), 93-106, 2015 | 70 | 2015 |
| Present status and future growth of advanced maintenance technology and strategy in US manufacturing X Jin, BA Weiss, D Siegel, J Lee International journal of prognostics and health management 7 (Spec Iss on …, 2016 | 66 | 2016 |
| A deviation based assessment methodology for multiple machine health patterns classification and fault detection X Jia, C Jin, M Buzza, Y Di, D Siegel, J Lee Mechanical Systems and Signal Processing 99, 244-261, 2018 | 54 | 2018 |
| A systematic methodology for gearbox health assessment and fault classification H Al-Atat, D Siegel, J Lee International Journal of Prognostics and Health Management Volume 2 (B&W), 16, 2009 | 52 | 2009 |
| An auto-associative residual processing and K-means clustering approach for anemometer health assessment D Siegel, J Lee International Journal of Prognostics and Health Management Volume 2 (color), 117, 2011 | 49 | 2011 |
| PHM for railway system—A case study on the health assessment of the point machines HD Ardakani, C Lucas, D Siegel, S Chang, P Dersin, B Bonnet, J Lee 2012 IEEE Conference on Prognostics and Health Management, 1-5, 2012 | 47 | 2012 |
| Development and evaluation of health monitoring techniques for railway point machines W Jin, Z Shi, D Siegel, P Dersin, C Douziech, M Pugnaloni, P La Cascia, ... 2015 IEEE Conference on Prognostics and Health Management (PHM), 1-11, 2015 | 38 | 2015 |
| An integrated framework of drivetrain degradation assessment and fault localization for offshore wind turbines W Zhao, D Siegel, J Lee, L Su Int. J. Progn. Health Manag 4, 46, 2013 | 33 | 2013 |
| Development of a predictive and preventive maintenance demonstration system for a semiconductor etching tool J Lee, D Siegel, ER Lapira Ecs Transactions 52 (1), 913, 2013 | 22 | 2013 |
| Prognostics and health assessment of a multi-regime system using a residual clustering health monitoring approach D Siegel University of Cincinnati, 2013 | 21 | 2013 |
| Intelligent factory agents with predictive analytics for asset management J Lee, HA Kao, HD Ardakani, D Siegel Industrial Agents, 341-360, 2015 | 17 | 2015 |
| Methodology and framework for predicting rolling element helicopter bearing failure D Siegel, J Lee, C Ly 2011 IEEE Conference on Prognostics and Health Management, 1-9, 2011 | 17 | 2011 |
| Evaluation of health assessment techniques for rotating machinery D Siegel University of Cincinnati, 2009 | 15 | 2009 |
