Control Valve Life Cycle Prediction and Effect of Valve Stiction in Reliability Analysis

In moving with the modern era of Industry 4.0, it is required to understand the computation process to perform better. The process plant industry consists of many complicated versions of performance and stays update. Since the way system engineers work for reliability is still needed to revise as a...

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Bibliographic Details
Published in2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) pp. 46 - 51
Main Authors Mathur, Nirbhay, Asirvadam, Vijanth S., Aziz, Azrina Abd, Ibrahim, Rosdiazli
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2020
Subjects
Bayes methods
Bayesian distribution
Control Valves
Reliability
Reliability theory
Signal processing
Valves
Visualization
Weibull distribution
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Summary:In moving with the modern era of Industry 4.0, it is required to understand the computation process to perform better. The process plant industry consists of many complicated versions of performance and stays update. Since the way system engineers work for reliability is still needed to revise as a present way only looks for the deterministic model, not a stochastic model to predict reliability. This research mainly focuses on the prediction of the reliability of the control valve used in the process plant. The Bayesian distribution and Weibull distribution both are used to visualize the reliability for control valves and also to visualize the mode of failure which can occur in control valve performance. These results also give information on the maintenance of the instrument. In sense, did component can be repaired or its life cycle is approaching to end.
DOI:10.1109/CSPA48992.2020.9068711