Process Fault Detection Using Hierarchical Artificial Neural Network Diagnostic Strategy

• Main Authors: Mohamad Rizza, Othman, Mohamad Wijayanuddin, Ali, Mohd Zaki, Kamsah
• Format: Article
• Language: English; English
• Published: Penerbit Universiti Teknologi Malaysia 2007
• Subjects: TP Chemical technology
• Online Access: http://umpir.ump.edu.my/id/eprint/6783/1/Process_Fault_Detection.pdf; http://umpir.ump.edu.my/id/eprint/6783/4/fkksa-2007-rizza-Process%20Fault%20Detection.pdf; http://umpir.ump.edu.my/id/eprint/6783/; http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/301/291
• Institution: Universiti Malaysia Pahang

This paper focuses on the use of artificial neural network (ANN) to detect and diagnose fault in process plant. In this work, the ANN uses two layers of hierarchical diagnostic strategy. The first layer diagnoses the node where the fault originated and the second layer classifies the type of faults...