Fault Diagnosis in Gas Turbine Based on Neural Networks: Vibrations Speed Application

The diagnosis of faults and failures in industrial systems is becoming increasingly essential. This work proposes the development of a fault diagnostics system based on artificial intelligence technique, using neural networks applied to a GE MS3002 gas turbine. This technique with its generalization and memory skills provides an effective diagnostic tool for the examined system.

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