Michael Sharp
Title
Cited by
Cited by
Year
A survey of the advancing use and development of machine learning in smart manufacturing
M Sharp, R Ak, T Hedberg Jr
Journal of manufacturing systems 48, 170-179, 2018
1182018
Instrumentation and controls in nuclear power plants: An emerging technologies update
K Korsah, DE Holcomb, MD Muhlheim, JA Mullens, A Loebl, M Bobrek, ...
U.. S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, 2009
362009
Developing a hierarchical decomposition methodology to increase manufacturing process and equipment health awareness
BA Weiss, M Sharp, A Klinger
Journal of manufacturing systems 48, 96-107, 2018
182018
Toward semi-autonomous information: Extraction for Unstructured Maintenance Data in Root Cause Analysis
M Sharp, T Sexton, MP Brundage
IFIP International Conference on Advances in Production Management Systems …, 2017
15*2017
Sensor-based degradation prediction and prognostics for remaining useful life estimation: Validation on experimental data of electric motors
F Barbieri, JW Hines, M Sharp, M Venturini
International journal of prognostics and health management 6 (3), 2015
152015
Prognostic approaches using transient monitoring methods
ME Sharp
142012
Hierarchical modeling of a manufacturing work cell to promote contextualized PHM information across multiple levels
M Sharp, BA Weiss
Manufacturing letters 15, 46-49, 2018
102018
Prognostics for light water reactor sustainability: empirical methods for heat exchanger prognostic lifetime predictions
Z Welz, A Nam, M Sharp, JW Hines, BR Upadhyaya
PHM Society European Conference 2 (1), 2014
92014
Lifecycle prognostic algorithm development and application to test beds
A Nam, M Sharp, JW Hines, B Upadhyaya
Chemical Engineering Transactions 33, 2013
72013
Studies to predict maintenance time duration and important factors from maintenance workorder data
M Navinchandran, ME Sharp, MP Brundage, TB Sexton
Proceedings of the Annual Conference of the PHM Society 11, 2019
62019
Design, manufacturing, and inspection data for a three-component assembly
T Hedberg Jr, M Sharp, T Maw, M Rahman, S Jadhav, J Whicker, ...
Journal of Research of National Institute of Standards and Technology 124 …, 2019
62019
Lifecycle Prognostics: Transitioning between information types
M Sharp, J Coble, A Nam, JW Hines, B Upadhyaya
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2015
62015
Bayesian methods for successive transitioning between prognostic types: Lifecycle prognostics
A Nam, M Sharp, JW Hines, BR Upadhyaya
8th International Topical Meeting on Nuclear Plant Instrumentation, Control …, 2012
52012
Discovering critical KPI factors from natural language in maintenance work orders
M Navinchandran, ME Sharp, MP Brundage, TB Sexton
Journal of Intelligent Manufacturing, 1-19, 2021
42021
Selecting Optimal Data for Creating Informed Maintenance Decisions in a Manufacturing Environment
M Sharp, MP Brundage, T Sprock, BA Weiss
Model-Based Enterprise Summit 2019, 2019
42019
Integrated Operations Management for Distributed Manufacturing
T Sprock, M Sharp, WZ Bernstein, MP Brundage, M Helu, T Hedberg
IFAC-PapersOnLine 52 (13), 1820-1824, 2019
32019
Improved heat exchanger lifecycle prognostic methods for enhanced light water reactor sustainability
Z Welz, A Nam, M Sharp, JW Hines, BR Upadhyaya
International Journal of Prognostics and Health Management 6 (3), 2015
32015
Observations on developing reliability information utilization in a manufacturing environment with case study: robotic arm manipulators
M Sharp
The International Journal of Advanced Manufacturing Technology 102 (9), 3243 …, 2019
22019
Diagnostics of machine tool linear axes via separation of geometric error sources
GW Vogl, ME Sharp
Annual Conference of the PHM Society 9 (1), 2017
22017
Qualifying Evaluations from Human Operators: Integrating Sensor Data with Natural Language Logs
MP Brundage, M Sharp, R Pavel
PHM Society European Conference 6 (1), 9-9, 2021
12021
The system can't perform the operation now. Try again later.
Articles 1–20