Detection of multiple sensor faults in a palm oil fractionation plant using artificial neural network

• Main Authors: Ahmad, Arshad, Abd. Hamid, Mohd. Kamaruddin
• Format: Conference or Workshop Item
• Language: English
• Published: 2002
• Subjects: TP Chemical technology
• Online Access: http://eprints.utm.my/id/eprint/987/1/RSCE_2002_MKAH.pdf; http://eprints.utm.my/id/eprint/987/
• Institution: Universiti Teknologi Malaysia

Given the universal approximation properties, simplicity as well its intrinsic analogy to the non-linear state space form, a recurrent Elman network is derived and applied as process predictor for fault detection in process plants. In this paper, a two-stage scheme integrating a neural Elman network...