Multivariate statistical diagnosis using triangular representation of fault patterns in principal component space

DOI10.1080/00207540500185141zbMath1080.90509OpenAlexW2072990243MaRDI QIDQ5712040

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Publication date: 22 December 2005

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540500185141

zbMATH Keywords

diagnosisPCAsimilarity indexon-line monitoringtriangular representation

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25)

Related Items (1)

A process monitoring scheme based on independent component analysis and adjusted outliers

Cites Work

• Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results
• Multivariate statistical process control—recent results and directions for future research
• Unnamed Item

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