Autoencoder Based Residual Generation for Fault Detection of Quadruple Tank System

Asgeir Daniel Hallgrimsson, Hans Henrik Niemann, Morten Lind

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    Increasing complexity of industrial processes has made statistical methods for process monitoring and diagnosis a more attractive alternative to model-based methods. A primary reason is that statistical approaches can be formulated to rely less on process knowledge. Since multivariable processes can exhibit complex, nonlinear dynamics, there is a need for methods capable of diagnosing nonlinear process data. A Monte Carlo simulation was conducted on a numerical model of the quadruple tank process (QTP) - a novel multivariate nonlinear process. The simulation was designed so that the QTP exhibited bipartite nonlinear behavior. Reference data obtained from the simulation was used to obtain principal component analysis (PCA) and autoencoder (AE) models. The models generated residuals that were used to monitor the condition of the process. The results showed that AEs, which have nonlinear functionalities, performed better than PCA models at generating residuals.

    Original languageEnglish
    Title of host publicationProceedings of the 3rd IEEE Conference on Control Technology and Applications
    PublisherIEEE
    Publication dateAug 2019
    Pages994-999
    Article number8920588
    ISBN (Electronic)9781728127675
    DOIs
    Publication statusPublished - Aug 2019
    Event2019 IEEE Conference on Control Technology and Applications - City University of Hong Kong, Hong Kong, China
    Duration: 19 Aug 201921 Aug 2019
    Conference number: 3
    https://ccta2019.ieeecss.org/

    Conference

    Conference2019 IEEE Conference on Control Technology and Applications
    Number3
    LocationCity University of Hong Kong
    Country/TerritoryChina
    CityHong Kong
    Period19/08/201921/08/2019
    SponsorCity University of Hong Kong, Hong Kong Automatic Control Association, IEEE
    Internet address

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