Article

Kathlyn, T.K. and Zabiri, H. and Aldrich, C. and Liu, X. and Mohd Amiruddin, A.A.A. (2023) Fault Detection and Identification in an Acid Gas Removal Unit Using Deep Autoencoders. ACS Omega, 8 (22). pp. 19273-19286.

Mohd Amiruddin, A.A.A. and Zabiri, H. and Taqvi, S.A.A. and Tufa, L.D. (2020) Neural network applications in fault diagnosis and detection: an overview of implementations in engineering-related systems. Neural Computing and Applications, 32 (2). pp. 447-472. ISSN 09410643

Kamaruddin, B. and Zabiri, H. and Mohd Amiruddin, A.A.A. and Teh, W.K. and Ramasamy, M. and Jeremiah, S.S. (2020) A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification. Journal of Process Control, 87. pp. 1-16. ISSN 09591524

Jeremiah, S.S. and Zabiri, H. and Ramasamy, M. and Teh, W.K. and Kamaruddin, B. and Mohd Amiruddin, A.A.A. (2019) Generic framework for valve stiction detection and compensation with ANFIS-activated dual-mode MPC. Journal of Process Control, 79. pp. 85-97. ISSN 09591524

Mohd Amiruddin, A.A.A. and Zabiri, H. and Jeremiah, S.S. and Teh, W.K. and Kamaruddin, B. (2019) Valve stiction detection through improved pattern recognition using neural networks. Control Engineering Practice, 90. pp. 63-84. ISSN 09670661

Teh, W.K. and Zabiri, H. and Samyudia, Y. and Jeremiah, S.S. and Kamaruddin, B. and Mohd Amiruddin, A.A.A. and Ramli, N.M. (2018) An Improved Diagnostic Tool for Control Valve Stiction Based on Nonlinear Principle Component Analysis. Industrial and Engineering Chemistry Research, 57 (33). pp. 11350-11365. ISSN 08885885

Conference or Workshop Item

Jeremiah, S.S. and Zabiri, H. and Ramasamy, M. and Kamaruddin, B. and Teh, W.K. and Mohd Amiruddin, A.A.A. (2018) IAM: An Intuitive ANFIS-based method for stiction detection. In: UNSPECIFIED.