An Adaptive Resonance Theory Neural Network (ART NN)-based fault diagnosis system: A Case Study of gas turbine system in Resak Development Platform

The project introduces a case study of a real gas turbine system in Resak Development
Platform. There are two main objectives of this project. The first objective is aimed to
achieve an online fault diagnosis model using Adaptive Resonance Theorem (ART) as a
considered option to avoid potential faults happen during plant system and process. The
second objective is focused on a solution to improve the maintenance plan for the gas
turbine system to be more economical yet still maintaining its safety level.