Semiadaptive fault diagnosis via variational Bayesian mixture factor analysis with application to wastewater treatment

DOI10.1155/2016/2034826zbMath1398.93269OpenAlexW2302743868WikidataQ59125992 ScholiaQ59125992MaRDI QIDQ1788515

Hongjun Xiao, Daoping Huang, Yiqi Liu

Publication date: 8 October 2018

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

Full work available at URL: https://doi.org/10.1155/2016/2034826

zbMATH Keywords

semiadaptive fault diagnosisvariational Bayesian mixture factor analysiswastewater plants

Mathematics Subject Classification ID

Bayesian inference (62F15) Nonlinear systems in control theory (93C10) Control/observation systems involving computers (process control, etc.) (93C83) Application models in control theory (93C95) Adaptive control/observation systems (93C40) Ecology (92D40)

Uses Software

• PRMLT

Cites Work

• Unnamed Item
• Principal component analysis.
• An introduction to variational methods for graphical models
• 10.1162/153244304322972667
• Probability Density Estimation via an Infinite Gaussian Mixture Model: Application to Statistical Process Monitoring

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