Data-Driven Fault Diagnosis: Multivariate Statistical Approach

DOI10.1007/978-3-030-17728-7_8zbMath1425.93197OpenAlexW2951844964MaRDI QIDQ5237328

Joaquim Melendez Frigola I

Publication date: 17 October 2019

Published in: Fault Diagnosis of Dynamic Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-17728-7_8

zbMATH Keywords

principal component analysisfault diagnosis

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics in engineering and industry; control charts (62P30) Reliability, availability, maintenance, inspection in operations research (90B25) Control/observation systems involving computers (process control, etc.) (93C83)

Uses Software

• PLS_Toolbox
• Solo

Cites Work

• Application of latent variable methods to process control and multivariate statistical process control in industry
• Control Procedures for Residuals Associated with Principal Component Analysis
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