Valve stiction detection through improved pattern recognition using neural networks

Author:

Mohd Amiruddin Ahmad Azharuddin Azhari,Zabiri Haslinda,Jeremiah Sean Suraj,Teh Weng Kean,Kamaruddin Bashariah

Funder

MOSTI, Malaysia

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference54 articles.

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2. Artificial neural networks: fundamentals, computing, design, and application;Basheer;Journal of Microbiological Methods,2000

3. The current state of control loop performance monitoring–A survey of application in industry;Bauer;Journal of Process Control,2016

4. Modeling, detection and quantification, and compensation of stiction in control loops: The state of the art;Brásio;Industrial and Engineering Chemistry Research,2014

5. Brasio, A., Romanenko, A., & Fernandes, N. C. P. (2015). Detection of stiction in level control loops. In International federation of automatic control.

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