Development of multiple-step soft-sensors using a Gaussian process model with application for fault prognosis

Liu, Yiqi, Xiao, Hongjun, Pan, Yongping, Huang, Daoping and Wang, Qilin (2016) Development of multiple-step soft-sensors using a Gaussian process model with application for fault prognosis. Chemometrics and Intelligent Laboratory Systems, 157 85-95. doi:10.1016/j.chemolab.2016.07.002


Author Liu, Yiqi
Xiao, Hongjun
Pan, Yongping
Huang, Daoping
Wang, Qilin
Title Development of multiple-step soft-sensors using a Gaussian process model with application for fault prognosis
Journal name Chemometrics and Intelligent Laboratory Systems   Check publisher's open access policy
ISSN 1873-3239
0169-7439
Publication date 2016-10-15
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.chemolab.2016.07.002
Open Access Status Not Open Access
Volume 157
Start page 85
End page 95
Total pages 11
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2017
Language eng
Abstract Predicting the degradation of working conditions and trending of fault propagation before they reach the alarm or failure control limit is significantly important to optimize the operational capacity of a chemical process. However, traditional one-step-ahead (OS) soft-sensors render such benefits inadequate. Direct, Recursive and Direct-recursive strategies are proposed to generalize the Gaussian Process Regression (GPR) model for multi-step-ahead (MS) prediction, thereby supporting the fault diagnosis and prognosis of the product qualities control for chemical processes. The proposed methodology was firstly demonstrated by applying the designed algorithm to a wastewater plant (WWTP) simulated with the well-established model, i.e., Benchmark Simulation Model 1 (BSM1), then extended to a full-scale WWTP with data collected from the field influenced by filamentous sludge bulking. Results showed that the proposed strategies significantly improved the prediction performance.
Keyword Soft-sensors
Fault diagnosis
Fault prognosis
Multi-step-ahead 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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Created: Mon, 25 Jul 2016, 13:06:36 EST by Qilin Wang on behalf of Advanced Water Management Centre