Lee J. Wells - researchr alias

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Viewing Publication 1 - 7 from 7

2023

A hybrid off-line/on-line quality control approach for real-time monitoring of high-density datasetsRomina Dastoorian, Lee J. Wells. jim, 34(2):669-682, February 2023. [doi]

Introducing randomness into univariate control chart sampling strategies for enhancing security against cyber-physical attacks in production systemsAhmad Elhabashy, Lee J. Wells, Jaime A. Camelio. qre, 39(3):853-870, April 2023. [doi]

2021

A novel NURBS surface approach to statistically monitor manufacturing processes with point cloud dataLee J. Wells, Romina Dastoorian, Jaime A. Camelio. jim, 32(2):329-345, 2021. [doi]

2019

A cyber-physical attack taxonomy for production systems: a quality control perspectiveAhmad Elhabashy, Lee J. Wells, Jaime A. Camelio, William H. Woodall. jim, 30(6):2489-2504, 2019. [doi]

2013

Statistical process monitoring approach for high-density point cloudsLee J. Wells, Fadel M. Megahed, Cory B. Niziolek, Jaime A. Camelio, William H. Woodall. jim, 24(6):1267-1279, 2013. [doi]

2012

A Spatiotemporal Method for the Monitoring of Image DataFadel M. Megahed, Lee J. Wells, Jaime A. Camelio, William H. Woodall. qre, 28(8):967-980, 2012. [doi]

A framework for variation visualization and understanding in complex manufacturing systemsLee J. Wells, Fadel M. Megahed, Jaime A. Camelio, William H. Woodall. jim, 23(5):2025-2036, 2012. [doi]

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