| PHM based predictive maintenance optimization for offshore wind farms X Lei, P Sandborn, R Bakhshi, A Kashani-Pour, N Goudarzi 2015 IEEE conference on prognostics and health management (PHM), 1-8, 2015 | 45 | 2015 |
| Offshore Wind Turbine Sub-Assembly Failure Rates Through Time J Carroll, A McDonald, O Barrera Martin, D McMillan, R Bakhshi Scientific Proceedings of EWEA Annual Conference and Exhibition 2015, 112-116, 2015 | 38 | 2015 |
| A return on investment model for the implementation of new technologies on wind turbines R Bakhshi, PA Sandborn IEEE Transactions on Sustainable Energy 9 (1), 284-292, 2017 | 37 | 2017 |
| Intermittent failures in hardware and software R Bakhshi, S Kunche, M Pecht Journal of Electronic Packaging 136 (1), 011014, 2014 | 30 | 2014 |
| The effect of yaw error on the reliability of wind turbine blades R Bakhshi, P Sandborn Energy Sustainability 50220, V001T14A001, 2016 | 24 | 2016 |
| Maximizing the returns of LIDAR systems in wind farms for yaw error correction applications R Bakhshi, P Sandborn Wind Energy 23 (6), 1408-1421, 2020 | 12 | 2020 |
| Overview of wind turbine field failure databases: a discussion of the requirements for an analysis R Bakhshi, P Sandborn ASME Power Conference 51395, V001T06A012, 2018 | 8 | 2018 |
| Return on Investment Modeling to Support Cost Avoidance Business Cases for Wind Farm O&M R Bakhshi, P Sandborn, X Lei, A Kashani-Pour Proceedings of EWEA Offshore, Denmark, 2015 | 7 | 2015 |
| Optimizing the use of LIDAR in wind farms: Minimizing life-cycle cost impact of yaw error R Bakhshi, P Sandborn Journal of Physics: Conference Series 1452 (1), 012011, 2020 | 5 | 2020 |
| Analysis of wind turbine capacity factor improvement by correcting yaw error using lidar R Bakhshi, P Sandborn ASME International Mechanical Engineering Congress and Exposition 58417 …, 2017 | 5 | 2017 |
| Development of a maintenance option model to optimize offshore wind farm o&m X Lei, PA Sandborn, R Bakhshi, A Kashani-Pour EWEA OFFSHORE, 10-12, 2015 | 5 | 2015 |
| Effects of voiding on the degradation of microvias in high density interconnect printed circuit boards under thermomechanical stresses R Bakhshi, MH Azarian, MG Pecht IEEE Transactions on Components, Packaging and Manufacturing Technology 4 (8 …, 2014 | 5 | 2014 |
| Assessing the value of corrosion mitigation in electronic systems using cost-based FMEA—Tin Whisker Mitigation R Bakhshi, P Sandborn, E Lillie Corrosion Processes: Sensing, Monitoring, Data Analytics, Prevention …, 2020 | 2 | 2020 |
| Industry 4.0 for Aerospace Manufacturing: Condition Based Maintenance Methodology, Implementation and Challenges X Tong, R Bakhshi, C Prabhu Annual Conference of the PHM Society 14 (1), 2022 | 1 | 2022 |
| Maximizing the Financial Returns of Using LIDAR Systems in Wind Farms for Yaw Error Correction Applications R Bakhshi University of Maryland, College Park, 2019 | 1 | 2019 |
| Using LIDAR on Wind Turbines for Yaw Error Correction: A Financial Prospective R Bakhshi, P Sandborn ASME Power Conference 51401, V002T12A007, 2018 | 1 | 2018 |
| PHM Cost and Return on Investment P Sandborn, C Wilkinson, KL Sharon, T Jazouli, R Bakhshi Prognostics and Health Management of Electronics: Fundamentals, Machine …, 2018 | | 2018 |
| The Optimization and Return on Investment Modeling for Implementation of LIDAR Systems on Offshore Wind Turbines R Bakhshi, P Sandborn Proceedings of Wind Europe 2016, Germany, 2016 | | 2016 |
| Return on Investment (ROI) Modeling of Offshore Wind Farm O&M to Support Strategic Technology Insertion R Bakhshi, P Sandborn Proceedings of AWEA Offshore, 2015 | | 2015 |
| Reliability Assessment of Voided Microvias in High Density Interconnect Printed Circuit Boards under Thermo-Mechanical Stresses R Bakhshi | | 2013 |
Peter A. SandbornProfessor, Mechanical Engineering, University of MarylandVerified email at umd.edu
