Version 1
: Received: 10 November 2020 / Approved: 13 November 2020 / Online: 13 November 2020 (09:23:39 CET)
How to cite:
Mathur, N.; Asirvadam, V.S.; Abt Aziz, A. Mechanical Damage Assessment for Pneumatic Control Valve Based on Statistical Reliability Model. Preprints2020, 2020110366. https://doi.org/10.20944/preprints202011.0366.v1
Mathur, N.; Asirvadam, V.S.; Abt Aziz, A. Mechanical Damage Assessment for Pneumatic Control Valve Based on Statistical Reliability Model. Preprints 2020, 2020110366. https://doi.org/10.20944/preprints202011.0366.v1
Mathur, N.; Asirvadam, V.S.; Abt Aziz, A. Mechanical Damage Assessment for Pneumatic Control Valve Based on Statistical Reliability Model. Preprints2020, 2020110366. https://doi.org/10.20944/preprints202011.0366.v1
APA Style
Mathur, N., Asirvadam, V.S., & Abt Aziz, A. (2020). Mechanical Damage Assessment for Pneumatic Control Valve Based on Statistical Reliability Model. Preprints. https://doi.org/10.20944/preprints202011.0366.v1
Chicago/Turabian Style
Mathur, N., Vijanth Sagayan Asirvadam and Azrina Abt Aziz. 2020 "Mechanical Damage Assessment for Pneumatic Control Valve Based on Statistical Reliability Model" Preprints. https://doi.org/10.20944/preprints202011.0366.v1
Abstract
Reliability assessment is an important component and tool used for process plants since the facility consists of many loops and instruments attached and operates based on each other availability, thus it requires a statistical method to visualize the reliability. The paper focuses on reliability assessment and prediction based on available statistical models such as normal, log-normal, exponential, and Weibull distribution. This paper also visualizes, which model fits best for assessment and prediction and also considers failure modes caused during a simulation mode process control operation. A simulation model is designed in this paper to observe the failure of the control valve causing stiction to visualize the failure modes and predict the best-fit model for reliability assessment.
Keywords
Fault detection; Control Valve; Reliability, Prediction
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
