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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| Format: | Article |
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MDPI AG
2021-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/21/6958 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:53:19Z |
| format | Article |
| id | doaj.art-d65fa9814c70402596820f76662d93ef |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T05:53:19Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d65fa9814c70402596820f76662d93ef2023-11-22T21:34:28ZengMDPI AGSensors1424-82202021-10-012121695810.3390/s21216958Real-Time Fault Detection and Diagnosis of CaCO<sub>3</sub> Reactive Crystallization Process by Electrical Resistance Tomography MeasurementsSoheil Aghajanian0Guruprasad Rao1Vesa Ruuskanen2Radosław Wajman3Lidia Jackowska-Strumillo4Tuomas Koiranen5School of Engineering Science, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, FinlandInstitute of Applied Computer Science, Lodz University of Technology, 90/924 Lodz, PolandSchool of Energy Systems, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, FinlandInstitute of Applied Computer Science, Lodz University of Technology, 90/924 Lodz, PolandInstitute of Applied Computer Science, Lodz University of Technology, 90/924 Lodz, PolandSchool of Engineering Science, LUT University, Yliopistonkatu 34, 53850 Lappeenranta, FinlandIn 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.https://www.mdpi.com/1424-8220/21/21/6958fault detectionreactive crystallizationelectrical resistance tomographyCaCO<sub>3</sub> precipitation |
| spellingShingle | 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 Sensors fault detection reactive crystallization electrical resistance tomography CaCO<sub>3</sub> precipitation |
| title | 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_short | 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 |
| topic | fault detection reactive crystallization electrical resistance tomography CaCO<sub>3</sub> precipitation |
| url | https://www.mdpi.com/1424-8220/21/21/6958 |
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