Mechanical Damage Assessment for Pneumatic Control Valves Based on a Statistical Reliability Model
A reliability assessment is an important tool used for processing plants, since the facility consists of many loops and instruments attached and operated based on other availability; thus, a statistical model is needed to visualize the reliability of its operation. The paper focuses on the reliabili...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/10/3307 |
| _version_ | 1797534644486275072 |
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| author | Nirbhay Mathur Vijanth Sagayan Asirvadam Azrina Abd Aziz |
| author_facet | Nirbhay Mathur Vijanth Sagayan Asirvadam Azrina Abd Aziz |
| author_sort | Nirbhay Mathur |
| collection | DOAJ |
| description | A reliability assessment is an important tool used for processing plants, since the facility consists of many loops and instruments attached and operated based on other availability; thus, a statistical model is needed to visualize the reliability of its operation. The paper focuses on the reliability assessment and prediction based on the existing statistical models, such as normal, log-normal, exponential, and Weibull distribution. This paper evaluates and visualizes the statistical reliability models optimized using MLE and considers the failure mode caused during a simulated process control operation. We simulated the failure of the control valve caused by stiction running with various flow rates using a pilot plant, which depicted the Weibull distribution as the best model to estimate the simulated process failure. |
| first_indexed | 2024-03-10T11:33:27Z |
| format | Article |
| id | doaj.art-2d3287431e5b4f15bf6bf79a0faf862e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T11:33:27Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2d3287431e5b4f15bf6bf79a0faf862e2023-11-21T19:03:57ZengMDPI AGSensors1424-82202021-05-012110330710.3390/s21103307Mechanical Damage Assessment for Pneumatic Control Valves Based on a Statistical Reliability ModelNirbhay Mathur0Vijanth Sagayan Asirvadam1Azrina Abd Aziz2Center for System Engineering, Institute of Autonomous Systems, Univiersiti Teknologi PETRONAS, Seri Iskander 32610, Perak, MalaysiaDepartment of Electrical and Electronics Engineering, Univiersiti Teknologi PETRONAS, Seri Iskander 32610, Perak, MalaysiaDepartment of Electrical and Electronics Engineering, Univiersiti Teknologi PETRONAS, Seri Iskander 32610, Perak, MalaysiaA reliability assessment is an important tool used for processing plants, since the facility consists of many loops and instruments attached and operated based on other availability; thus, a statistical model is needed to visualize the reliability of its operation. The paper focuses on the reliability assessment and prediction based on the existing statistical models, such as normal, log-normal, exponential, and Weibull distribution. This paper evaluates and visualizes the statistical reliability models optimized using MLE and considers the failure mode caused during a simulated process control operation. We simulated the failure of the control valve caused by stiction running with various flow rates using a pilot plant, which depicted the Weibull distribution as the best model to estimate the simulated process failure.https://www.mdpi.com/1424-8220/21/10/3307fault detectioncontrol valvereliabilityvisualization |
| spellingShingle | Nirbhay Mathur Vijanth Sagayan Asirvadam Azrina Abd Aziz Mechanical Damage Assessment for Pneumatic Control Valves Based on a Statistical Reliability Model Sensors fault detection control valve reliability visualization |
| title | Mechanical Damage Assessment for Pneumatic Control Valves Based on a Statistical Reliability Model |
| title_full | Mechanical Damage Assessment for Pneumatic Control Valves Based on a Statistical Reliability Model |
| title_fullStr | Mechanical Damage Assessment for Pneumatic Control Valves Based on a Statistical Reliability Model |
| title_full_unstemmed | Mechanical Damage Assessment for Pneumatic Control Valves Based on a Statistical Reliability Model |
| title_short | Mechanical Damage Assessment for Pneumatic Control Valves Based on a Statistical Reliability Model |
| title_sort | mechanical damage assessment for pneumatic control valves based on a statistical reliability model |
| topic | fault detection control valve reliability visualization |
| url | https://www.mdpi.com/1424-8220/21/10/3307 |
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