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What is Neural Network Methodology Process Fault Diagnosis: A For about?

This document proposes using a neural network methodology for process fault diagnosis. It demonstrates the approach on a case study of fault diagnosis in a fluidized catalytic cracking unit (FCCU) process. The neural network system is able to successfully diagnose faults it was trained on. It can also generalize to diagnose novel fault combinations it was not explicitly trained on, and handle incomplete or uncertain data. The document compares the neural network approach to a previous knowledge-based system

Author

yokonora

Language

EN