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

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


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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.

Publication metadata

Author(s): Wang S, Zhang J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 22nd IEEE International Conference on Industrial Technology (ICIT2021)

Year of Conference: 2021

Print publication date: 10/03/2021

Online publication date: 18/06/2021

Acceptance date: 04/01/2021

Publisher: IEEE


DOI: 10.1109/ICIT46573.2021.9453507

Library holdings: Search Newcastle University Library for this item

ISBN: 9781728157313