IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2022i1p108-d1011193.html
   My bibliography  Save this article

A Novel Generic Diagnosis Algorithm in the Time Domain Representation

Author

Listed:
  • Etienne Dijoux

    (ENERGY Lab—LE2P, University La Reunion, 97415 Saint-Denis, France
    Vehicle and Hydrogen Innovation, Crea + Parts Company, 97438 Sainte-Marie, France)

  • Cédric Damour

    (ENERGY Lab—LE2P, University La Reunion, 97415 Saint-Denis, France)

  • Michel Benne

    (ENERGY Lab—LE2P, University La Reunion, 97415 Saint-Denis, France)

  • Alexandre Aubier

    (Vehicle and Hydrogen Innovation, Crea + Parts Company, 97438 Sainte-Marie, France)

Abstract

The health monitoring of a system remains a major issue for its lifetime preservation. In this paper, a novel fault diagnosis algorithm is proposed. The proposed diagnosis approach is based on a unique variable measurement in the time domain and manages to extract the system behavior evolution. The developed tool aims to be generic to several physical systems with low or high dynamic behavior. The algorithm is depicted in the present paper and two different applications are considered. The performance of the novel proposed approach is experimentally evaluated on a fan considering two different faulty conditions and on a proton exchange membrane fuel cell. The experimental results demonstrated the high efficiency of the proposed diagnosis tool. Indeed, the algorithm can discriminate the two faulty operation modes of the fan from a normal condition and also manages to identify the current system state of health. Regarding the fuel cell state of health, only two conditions are tested and the algorithm is able to detect the fault occurrence from a normal operating mode. Moreover, the very low computational cost of the proposed diagnosis tool makes it especially suitable to be implemented on a microcontroller.

Suggested Citation

  • Etienne Dijoux & Cédric Damour & Michel Benne & Alexandre Aubier, 2022. "A Novel Generic Diagnosis Algorithm in the Time Domain Representation," Energies, MDPI, vol. 16(1), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:108-:d:1011193
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/1/108/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/1/108/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Velmurugan K & Saravanasankar S & Venkumar P & Sudhakarapandian R & Gianpaolo Di Bona & Dimitris Mourtzis, 2022. "Availability Analysis of the Critical Production System in SMEs Using the Markov Decision Model," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-16, September.
    2. Farshad BahooToroody & Saeed Khalaj & Leonardo Leoni & Filippo De Carlo & Gianpaolo Di Bona & Antonio Forcina, 2021. "Reliability Estimation of Reinforced Slopes to Prioritize Maintenance Actions," IJERPH, MDPI, vol. 18(2), pages 1-12, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leonardo Leoni & Farshad BahooToroody & Saeed Khalaj & Filippo De Carlo & Ahmad BahooToroody & Mohammad Mahdi Abaei, 2021. "Bayesian Estimation for Reliability Engineering: Addressing the Influence of Prior Choice," IJERPH, MDPI, vol. 18(7), pages 1-16, March.
    2. Gongbo Long & Yingjie Liu & Wanrong Xu & Peng Zhou & Jiaqi Zhou & Guanshui Xu & Boqi Xiao, 2022. "Analysis of Crack Problems in Multilayered Elastic Medium by a Consecutive Stiffness Method," Mathematics, MDPI, vol. 10(23), pages 1-16, November.
    3. Chunli Li & Guangming Yu & Liang Li & Hongbiao Yu & Yanxiang Fan & Jun Lei & Zhen Xu, 2023. "Reliability Analysis of Seismic Slope Incorporating Interactions among Multiple Sliding Blocks Using Imbalance Thrust Force Method in Primary Sliding Direction," Sustainability, MDPI, vol. 15(16), pages 1-16, August.
    4. Fotis Kitsios & Elpiniki Chatzidimitriou & Maria Kamariotou, 2023. "The ISO/IEC 27001 Information Security Management Standard: How to Extract Value from Data in the IT Sector," Sustainability, MDPI, vol. 15(7), pages 1-17, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:108-:d:1011193. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.