Assessing the performance of control charts for detecting previously unexplored shift types in high density spatial data
Author:
Affiliation:
1. Department of Industrial and Entrepreneurial Engineering and Engineering Management, Western Michigan University, Kalamazoo, Michigan, USA
2. Department of Systems and Industrial Engineering, University of Arizona, Tucson, Arizona, USA
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/08982112.2021.2015384
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1. Chatter modelling in micro-milling by considering process nonlinearities
2. A novel framework for spatiotemporal monitoring and post‐signal diagnosis of processes with image data
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5. Monitoring for changes in the nature of stochastic textured surfaces
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1. The partitioning ensemble control chart for on-line monitoring of high-dimensional image-based quality characteristics;Engineering Applications of Artificial Intelligence;2024-01
2. Development of control charts to monitor image data using the contourlet transform method;Quality and Reliability Engineering International;2023-09-13
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