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Lookup NU author(s): Dr Shengkai Wang, Dr Jie ZhangORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
This paper proposes an on-line process fault diagnosis scheme that integrates principal component analysis, Andrews function, autoencoder and multilayer feedforward neural network to enhance the fault diagnosis performance. Useful features are extracted from the on-line monitoring data by using Andrews function (also known as Andrews plot). To overcome the influence of the arrangement order of variables on the outcomes of Andrews function, a principal component analysis (PCA) model is developed from the normal process operation data. The principal components of the original process data, arranged in the descending order of data variation explained, are used in Andrews function calculation. To address the issue of feature selection in Andrews function, a large number of Andrew function outputs are retained and then compressed using an autoencoder. The compressed features from the encoder are then utilized as the inputs to a multi-layer feedforward neural network for fault diagnosis. The proposed method is demonstrated on a simulated continuous stirred tank reactor (CSTR) and the diagnostic performance is compared with those of a conventional neural network and an Andrews function based on-line fault diagnosis schemes. A wide range of process faults in abrupt and incipient fault forms are tested. The results demonstrate that the proposed on-line process fault diagnosis scheme gives improved fault diagnosis speed and reliability.
Author(s): Wang S, Zhang J
Publication type: Article
Publication status: Published
Journal: Canadian Journal of Chemical Engineering
Year: 2025
Pages: Epub ahead of print
Online publication date: 07/10/2025
Acceptance date: 27/08/2025
Date deposited: 27/10/2025
ISSN (print): 0008-4034
ISSN (electronic): 1939-019X
Publisher: Wiley
URL: https://doi.org/10.1002/cjce.70118
DOI: 10.1002/cjce.70118
Data Access Statement: The data that support the findings of this study are avail-able from the corresponding author upon reasonable request
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