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Fault Diagnosis of a Granulator Operating under Time-Varying Conditions Using Canonical Variate Analysis

Author

Listed:
  • Elena Quatrini

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy)

  • Xiaochuan Li

    (Faculty of Computing, Engineering and Media, De Montfort University, Leicester LE1 9BH, UK)

  • David Mba

    (Faculty of Computing, Engineering and Media, De Montfort University, Leicester LE1 9BH, UK)

  • Francesco Costantino

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy)

Abstract

Granulators play a key role in many pharmaceutical processes because they are involved in the production of tablets and capsule dosage forms. Considering the characteristics of the production processes in which a granulator is involved, proper maintenance of the latter is relevant for plant safety. During the operational phase, there is a high risk of explosion, pollution, and contamination. The nature of this process also requires an in-depth examination of the time-dependence of the process variables. This study proposes the application of canonical variate analysis (CVA) to perform fault detection in a granulation process that operates under time-varying conditions. Beyond this, a different approach to the management of process non-linearities is proposed. The novelty of the study is in the application of CVA in this kind of process, because it is possible to state that the actual literature on the theme shows some limitations of CVA in such processes. The aim was to increase the applicability of CVA in variable contexts, with simple management of non-linearities. The results, considering process data from a pharmaceutical granulator, showed that the proposed approach could detect faults and manage non-linearities, exhibiting future scenarios for more performing and automatic monitoring techniques of time-varying processes.

Suggested Citation

  • Elena Quatrini & Xiaochuan Li & David Mba & Francesco Costantino, 2020. "Fault Diagnosis of a Granulator Operating under Time-Varying Conditions Using Canonical Variate Analysis," Energies, MDPI, vol. 13(17), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4427-:d:404820
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    Citations

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    Cited by:

    1. Bernard Michałek & Marek Ochowiak & Katarzyna Bizon & Sylwia Włodarczak & Andżelika Krupińska & Magdalena Matuszak & Dominika Boroń & Błażej Gierczyk & Radosław Olszewski, 2021. "Effect of Adding Surfactants to a Solution of Fertilizer on the Granulation Process," Energies, MDPI, vol. 14(22), pages 1-14, November.

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