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A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification Kamaruddin B, Zabiri H, Amiruddin AAAM, Teh WK, Ramasamy M, Jeremiah SS Journal of Process Control, 87, 1, 2020 |
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Review and comparison of techniques of analysis of valve stiction: From modeling to smart diagnosis di Capaci RB, Scali C Chemical Engineering Research & Design, 130, 230, 2018 |
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On the Detection of Valve Nonlinearities in Otherwise Linear Closed-Loop Systems Spinner T, Srinivasan B, Rengaswamy R IEEE Transactions on Automatic Control, 62(2), 955, 2017 |
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Detection of asymmetric control valve stiction from oscillatory data using an extended Hammerstein system identification method Wang JD, Zhang QH Journal of Process Control, 24(1), 1, 2014 |
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Estimation of distribution function for control valve stiction estimation Qi F, Huang BA Journal of Process Control, 21(8), 1208, 2011 |
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Stiction identification in nonlinear process control loops Nallasivam U, Babji S, Rengaswamy R Computers & Chemical Engineering, 34(11), 1890, 2010 |
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Detection and quantification of valve stiction by the method of unknown input estimation Chitralekha SB, Shah SL, Prakash J Journal of Process Control, 20(1), 206, 2010 |
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Nonlinear control performance assessment in the presence of valve stiction Yu W, Wilson DI, Young BR Journal of Process Control, 20(6), 754, 2010 |
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NLPCA as a diagnostic tool for control valve stiction Zabiri H, Ramasamy M Journal of Process Control, 19(8), 1368, 2009 |
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Estimation of valve stiction in control loops using separable least-squares and global search algorithms Jelali M Journal of Process Control, 18(7-8), 632, 2008 |