Optimization of neural network model structures for valve stiction modeling

• Main Authors: H., Zabiri, N., Mazuki
• Format: Conference or Workshop Item
• Published: 2009
• Subjects: TP Chemical technology
• Online Access: http://eprints.utp.edu.my/3733/1/S065.pdf; http://www.scopus.com/record/display.url?eid=2-s2.0-77949992585&origin=resultslist&sort=plf-f&src=s&st1=zabiri&st2=h&nlo=1&nlr=20&nls=first-t&sid=E5NmG27IsJfsII9yXMDsTvP%3a73&sot=anl&sdt=aut&sl=37&s=AU-ID%28%22Zabiri%2c+Haslinda%22+19639359300%29&relpos=0; http://eprints.utp.edu.my/3733/
• Institution: Universiti Teknologi Petronas

Stiction is the most commonly found valve problem in the process industry. Valve stiction may cause oscillations in control loops which increases variability in product quality, accelerates equipment wear and tear, or leads to system instability. To help understand and study the behavior of sticky v...