Fault diagnosis method based on gap metric data preprocessing and principal component analysis

DOI10.1155/2018/1025353zbMath1403.93032OpenAlexW2803211482WikidataQ129807636 ScholiaQ129807636MaRDI QIDQ1629449

Siyu Ji, Zihan Wang, Chenglin Wen, Xiao-Ming Xu

Publication date: 12 December 2018

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/1025353

zbMATH Keywords

principal component analysisfault diagnosisgap metric data

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Large-scale systems (93A15)

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Cites Work

• Fault diagnosis method based on information entropy and relative principal component analysis
• Frequency domain uncertainty and the graph topology
• Optimal robustness in the gap metric
• The gap metric: Robustness of stabilization of feedback systems
• Relative PCA with Applications of Data Compression and Fault Diagnosis