A Fault Diagnosis Strategy based on Qualitative Trend Analysis Integrating Andrews Plot for Industrial Processes

Wang, S; Zhang, J

doi:10.1109/ICIT46573.2021.9453507

A Fault Diagnosis Strategy based on Qualitative Trend Analysis Integrating Andrews Plot for Industrial Processes

Lookup NU author(s): Dr Shengkai Wang, Dr Jie Zhang ORCiD

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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.