Enhancing Industrial Valve Diagnostics: Comparison of Two Preprocessing Methods on the Performance of a Stiction Detection Method Using an Artificial Neural Network

Enhancing Industrial Valve Diagnostics: Comparison of Two Preprocessing Methods on the Performance of a Stiction Detection Method Using an Artificial Neural Network

The detection and mitigation of stiction are crucial for maintaining control system performance. This paper proposes the comparison of two preprocessing methods for detecting stiction in control valves via pattern recognition via an artificial neural network (ANN). This method utilizes process varia...

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Bibliographic Details
Main Authors: Bhagya Rajesh Navada, Vemulapalli Sravani, Santhosh Krishnan Venkata
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Applied System Innovation
Subjects:
stiction
simulation
ANN
preprocessing
D-value
principal component analysis (PCA)
Online Access:https://www.mdpi.com/2571-5577/7/6/104

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