Fault prognosis of filamentous sludge bulking using an enhanced multi-output gaussian processes regression

Liu, Yiqi, Pan, Yongping, Huang, Daoping and Wang, Qilin (2017) Fault prognosis of filamentous sludge bulking using an enhanced multi-output gaussian processes regression. Control Engineering Practice, 62 46-54. doi:10.1016/j.conengprac.2017.02.003


Author Liu, Yiqi
Pan, Yongping
Huang, Daoping
Wang, Qilin
Title Fault prognosis of filamentous sludge bulking using an enhanced multi-output gaussian processes regression
Journal name Control Engineering Practice   Check publisher's open access policy
ISSN 0967-0661
1873-6939
Publication date 2017-05-01
Sub-type Article (original research)
DOI 10.1016/j.conengprac.2017.02.003
Open Access Status Not yet assessed
Volume 62
Start page 46
End page 54
Total pages 9
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Collection year 2018
Language eng
Abstract The activated sludge process (ASP) is widely adopted to remove pollutants in wastewater treatment plants (WWTPs). However, the occurrence of filamentous sludge bulking often compromises the stable operation of the ASP. For timely diagnosis of filamentous sludge bulking for an activated sludge process in advance, this study proposed a Multi-Output Gaussian Processes Regression (MGPR) model for multi-step prediction and presented the Vector auto-regression (VAR) to learn the MGPR modelling deviation. The resulting models and associated uncertainty levels are used to monitor the filamentous sludge bulking related parameter, sludge volume index (SVI), such that the evolution of SVI can be predicted for both one-step and multi-step ahead. This methodology was validated with SVI data collected from one full-scale WWTP. Online diagnosis and prognosis of filamentous bulking sludge with real-time SVI prediction were tested through a simulation study. The results demonstrated that the proposed methodology was capable of predicting future SVI with good accuracy, thereby providing sufficient time for filamentous sludge bulking.
Keyword Fault prognosis
Filamentous sludge bulking
Gaussian processes regression
Multiple-step prediction
Wastewater
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Advanced Water Management Centre Publications
 
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