Advanced Data Analytical Techniques for Profile Monitoring

Peiyao Liu () and Chen Zhang ()
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Peiyao Liu: Tsinghua University
Chen Zhang: Tsinghua University

A chapter in Multimodal and Tensor Data Analytics for Industrial Systems Improvement, 2024, pp 21-39 from Springer

Abstract: Abstract Nowadays advanced sensing technology enables high-resolution in-process data collection during manufacturing, known as profiles or functional data. These data facilitate in-process monitoring and anomaly detection, which have been extensively studied in recent years. Yet three main challenges are the most essential: (i) how to model complex correlation structures of high-dimensional profiles, i.e., cluster-correlated or sparse-correlated profiles, (ii) how to efficiently detect changes before the profile is complete, and (iii) how to characterize the between-stage correlation of multi-stage profiles. To address these three challenges, we accordingly develop three techniques for high-dimensional profile monitoring, in-profile monitoring, and multi-stage profile monitoring.

Keywords: Multi-modal profile monitoring; Multi-stage profile monitoring; Cluster-correlated profiles (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-53092-0_3

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DOI: 10.1007/978-3-031-53092-0_3

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