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

DOI10.1080/00207540802552683zbMath1197.90297OpenAlexW2009607192MaRDI QIDQ3163701

Longsheng Chen, Chun-Chin Hsu, Cheng-Hsiang Liu

Publication date: 26 October 2010

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

Full work available at URL: https://doi.org/10.1080/00207540802552683

zbMATH Keywords

PCAadjusted outlyingnessICATennessee Eastman process

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Linear programming (90C05)

Related Items (1)

Detection and identification of mean shift using independent component analysis in multivariate processes

Uses Software

• LIBRA

Cites Work

• Principal alarms in multivariate statistical process control using independent component analysis
• Modelling and diagnosis of feedback-controlled processes using dynamic PCA and neural networks
• Statistical monitoring and diagnosis of automatic controlled processes using dynamic PCA
• Integrated Application of SPC/EPC/ICA and neural networks
• Monitoring feedback-controlled processes using adaptiveT²schemes
• Multivariate statistical diagnosis using triangular representation of fault patterns in principal component space
• Fault detection and diagnosis in industrial systems

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