Abstract
This paper proposes an enhanced neural network based fault diagnosis system by integrating Andrews plot and qualitative trend analysis. Andrews plot is used to first extract features from on-line measurements. The extracted features are transformed into qualitative trend forms, which are then fed to a neural network for fault classification. Application to a simulated CSTR process indicates that the proposed method can give more reliable and earlier diagnosis than the traditional neural network based fault diagnosis method.
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