Semiadaptive Fault Diagnosis via Variational Bayesian Mixture Factor Analysis with Application to Wastewater Treatment
Joint Authors
Xiao, Hongjun
Liu, Yiqi
Huang, Daoping
Source
Journal of Control Science and Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Mainly due to the hostile environment in wastewater plants (WWTPs), the reliability of sensors with respect to important qualities is often poor.
In this work, we present the design of a semiadaptive fault diagnosis method based on the variational Bayesian mixture factor analysis (VBMFA) to support process monitoring.
The proposed method is capable of capturing strong nonlinearity and the significant dynamic feature of WWTPs that seriously limit the application of conventional multivariate statistical methods for fault diagnosis implementation.
The performance of proposed method is validated through a simulation study of a wastewater plant.
Results have demonstrated that the proposed strategy can significantly improve the ability of fault diagnosis under fault-free scenario, accurately detect the abrupt change and drift fault, and even localize the root cause of corresponding fault properly.
American Psychological Association (APA)
Xiao, Hongjun& Liu, Yiqi& Huang, Daoping. 2016. Semiadaptive Fault Diagnosis via Variational Bayesian Mixture Factor Analysis with Application to Wastewater Treatment. Journal of Control Science and Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1107874
Modern Language Association (MLA)
Xiao, Hongjun…[et al.]. Semiadaptive Fault Diagnosis via Variational Bayesian Mixture Factor Analysis with Application to Wastewater Treatment. Journal of Control Science and Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1107874
American Medical Association (AMA)
Xiao, Hongjun& Liu, Yiqi& Huang, Daoping. Semiadaptive Fault Diagnosis via Variational Bayesian Mixture Factor Analysis with Application to Wastewater Treatment. Journal of Control Science and Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1107874
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1107874