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A systematic methodology for Prognostic and Health Management system architecture definition

journal contribution
posted on 2024-11-02, 12:23 authored by Rui Li, Wilhelmus VerhagenWilhelmus Verhagen, Richard Curran
Prognostic and Health Management (PHM) systems support aircraft maintenance through the provision of diagnostic and prognostic capabilities, leveraging the increased availability of sensor data on modern aircraft. Diagnostics provide the functionalities of failure detection and isolation, whereas prognostics can predict the remaining useful life (RUL) of the system. In literature, PHM technologies have been studied from different perspectives, covering various aims such as improving aircraft system reliability, availability, safety and reducing the maintenance cost. From a design perspective, several conceptual formulations of design methodologies are available, enabling a set of PHM system architectures based on different frameworks and the derivation of system requirements. However, a systematic methodology towards a consistent definition of PHM architectures has not been well established. The characteristics of architectures have not been dealt with in depth. To address these gaps, this paper presents a systematic methodology for PHM architecture definition to ensure a more complete and consistent design during the development phase of the product lifecycle. Moreover, a generic PHM architecture in accordance with this systematic methodology is proposed in this article. A case study is conducted to verify and validate the architecture, ensuring it meets the requirements for a correct and complete representation of PHM characteristics.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.ress.2019.106598
  2. 2.
    ISSN - Is published in 09518320

Journal

Reliability Engineering and System Safety

Volume

193

Number

106598

Start page

1

End page

19

Total pages

19

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2019 Elsevier Ltd. All rights reserved.

Former Identifier

2006096888

Esploro creation date

2020-06-22

Fedora creation date

2020-04-20

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