Sub-period division strategies combined with multiway principle component analysis for fault diagnosis on sequence batch reactor of wastewater treatment process in paper mill
| Autor: | Panagiotis Seferlis, Feini Huang, Jing Zhou, Zhang Liu, Wenhao Shen, Jean-Pierre Corriou |
|---|---|
| Přispěvatelé: | Laboratoire Réactions et Génie des Procédés (LRGP), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), South China University of Technology [Guangzhou] (SCUT), Aristotle University of Thessaloniki |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
021110 strategic
defence & security studies Sequence Environmental Engineering business.industry Computer science General Chemical Engineering Batch reactor 0211 other engineering and technologies Process (computing) 02 engineering and technology 010501 environmental sciences Division (mathematics) Fault (power engineering) 01 natural sciences 6. Clean water [SPI]Engineering Sciences [physics] Wastewater Principal component analysis Environmental Chemistry Sewage treatment Safety Risk Reliability and Quality Process engineering business ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences |
| Zdroj: | Process Safety and Environmental Protection Process Safety and Environmental Protection, Elsevier, 2021, 146, pp.9-19. ⟨10.1016/j.psep.2020.08.032⟩ |
| ISSN: | 0957-5820 |
| DOI: | 10.1016/j.psep.2020.08.032⟩ |
| Popis: | Fault diagnosis of sequential batch reactor (SBR), a widely applied wastewater treatment technology in papermaking industry with huge discharge, has been a significant challenge due to the inherent multi-period characteristics of the process. In this paper, based on the conventional multi-way principal component analysis (MPCA) method (Scenario 0), two sub-period division strategies based on the processing phases of SBR process (Scenario 1) and the similarities of the loading matrices between the adjacent time slices (Scenario 2) are proposed for the detection of faults. Combined with Scenario 0, using the field data of blower current, level of SBR reactor, dissolved oxygen of wastewater and the blower valve opening in the SBR process of paper mill, two different fault diagnosis models with Scenarios 1 and 2 are developed and evaluated, respectively. The study results revealed that, both the calculated statistics of T2 and sum of prediction errors (SPE) of the fault diagnosis models with Scenarios 1 and 2 could detect the faults and identify the fault locations and sources. Compared to Scenario 0 which neglects the correlations between the different stages of SBR process, the fault diagnosis model by Scenario 2 demonstrated a superiority ability in fault identification in terms of the fault’s time onset and fault’s sources with adequate accuracy. The results enable the feasible and reliable implementation of the developed sub-MPCA diagnosis model with Scenario 2 in the actual SBR plants. |
| Databáze: | OpenAIRE |
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