Real-Time Fault Detection and Diagnosis of CaCO<sub>3</sub> Reactive Crystallization Process by Electrical Resistance Tomography Measurements

In the present research work, an electrical resistance tomography (ERT) system is utilized as a means for real-time fault detection and diagnosis (FDD) during a reactive crystallization process. The calcium carbonate crystallization is part of the carbon capture and utilization scheme where process...

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Autores principales:	Soheil Aghajanian, Guruprasad Rao, Vesa Ruuskanen, Radosław Wajman, Lidia Jackowska-Strumillo, Tuomas Koiranen
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	fault detection reactive crystallization electrical resistance tomography CaCO<sub>3</sub> precipitation Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/d65fa9814c70402596820f76662d93ef
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spelling	oai:doaj.org-article:d65fa9814c70402596820f76662d93ef2021-11-11T19:00:24ZReal-Time Fault Detection and Diagnosis of CaCO<sub>3</sub> Reactive Crystallization Process by Electrical Resistance Tomography Measurements10.3390/s212169581424-8220https://doaj.org/article/d65fa9814c70402596820f76662d93ef2021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/6958https://doaj.org/toc/1424-8220In the present research work, an electrical resistance tomography (ERT) system is utilized as a means for real-time fault detection and diagnosis (FDD) during a reactive crystallization process. The calcium carbonate crystallization is part of the carbon capture and utilization scheme where process monitoring and malfunction diagnostics strategies are presented. The graphical logic representation of the fault tree analysis methodology is used to develop the system failure states. The measurement consistency due to the use of a single electrode from a set of ERT electrodes for malfunction identification is experimentally and quantitatively investigated based on the sensor sensitivity and standard deviation criteria. Electrical current measurements are employed to develop a LabVIEW-based process automation program by using the process-specific knowledge and historical process data. Averaged electrical current is correlated to the mechanical failure of the stirrer through standard deviation evaluation, and slopes of the measured data are used to monitor the pump and concentrations status. The performance of the implemented methodology for detecting the induced faults and abnormalities is tested at different operating conditions, and a basic signal-based alarming technique is developed.Soheil AghajanianGuruprasad RaoVesa RuuskanenRadosław WajmanLidia Jackowska-StrumilloTuomas KoiranenMDPI AGarticlefault detectionreactive crystallizationelectrical resistance tomographyCaCO<sub>3</sub> precipitationChemical technologyTP1-1185ENSensors, Vol 21, Iss 6958, p 6958 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fault detection reactive crystallization electrical resistance tomography CaCO<sub>3</sub> precipitation Chemical technology TP1-1185
spellingShingle	fault detection reactive crystallization electrical resistance tomography CaCO<sub>3</sub> precipitation Chemical technology TP1-1185 Soheil Aghajanian Guruprasad Rao Vesa Ruuskanen Radosław Wajman Lidia Jackowska-Strumillo Tuomas Koiranen Real-Time Fault Detection and Diagnosis of CaCO<sub>3</sub> Reactive Crystallization Process by Electrical Resistance Tomography Measurements
description	In the present research work, an electrical resistance tomography (ERT) system is utilized as a means for real-time fault detection and diagnosis (FDD) during a reactive crystallization process. The calcium carbonate crystallization is part of the carbon capture and utilization scheme where process monitoring and malfunction diagnostics strategies are presented. The graphical logic representation of the fault tree analysis methodology is used to develop the system failure states. The measurement consistency due to the use of a single electrode from a set of ERT electrodes for malfunction identification is experimentally and quantitatively investigated based on the sensor sensitivity and standard deviation criteria. Electrical current measurements are employed to develop a LabVIEW-based process automation program by using the process-specific knowledge and historical process data. Averaged electrical current is correlated to the mechanical failure of the stirrer through standard deviation evaluation, and slopes of the measured data are used to monitor the pump and concentrations status. The performance of the implemented methodology for detecting the induced faults and abnormalities is tested at different operating conditions, and a basic signal-based alarming technique is developed.
format	article
author	Soheil Aghajanian Guruprasad Rao Vesa Ruuskanen Radosław Wajman Lidia Jackowska-Strumillo Tuomas Koiranen
author_facet	Soheil Aghajanian Guruprasad Rao Vesa Ruuskanen Radosław Wajman Lidia Jackowska-Strumillo Tuomas Koiranen
author_sort	Soheil Aghajanian
title	Real-Time Fault Detection and Diagnosis of CaCO<sub>3</sub> Reactive Crystallization Process by Electrical Resistance Tomography Measurements
title_short	Real-Time Fault Detection and Diagnosis of CaCO<sub>3</sub> Reactive Crystallization Process by Electrical Resistance Tomography Measurements
title_full	Real-Time Fault Detection and Diagnosis of CaCO<sub>3</sub> Reactive Crystallization Process by Electrical Resistance Tomography Measurements
title_fullStr	Real-Time Fault Detection and Diagnosis of CaCO<sub>3</sub> Reactive Crystallization Process by Electrical Resistance Tomography Measurements
title_full_unstemmed	Real-Time Fault Detection and Diagnosis of CaCO<sub>3</sub> Reactive Crystallization Process by Electrical Resistance Tomography Measurements
title_sort	real-time fault detection and diagnosis of caco<sub>3</sub> reactive crystallization process by electrical resistance tomography measurements
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d65fa9814c70402596820f76662d93ef
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Real-Time Fault Detection and Diagnosis of CaCO<sub>3</sub> Reactive Crystallization Process by Electrical Resistance Tomography Measurements

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