Selection of Model Approaches and Modelling Methods for Lifetime Prognosis

DS 122: Proceedings of the Design Society: 24th International Conference on Engineering Design (ICED23)

Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nad├Ęge Troussier
Author: Bauer, Robin Steve; Inkermann, David
Series: ICED
Institution: Technische Universit├Ąt Clausthal
Section: Design Methods
Page(s): 3125-3134
DOI number: https://doi.org/10.1017/pds.2023.313
ISBN: -
ISSN: -

Abstract

Lifetime prognoses are fundamentally important to improve products regarding safety, costs, availability and sustainability. To modelling the lifetime of a system or its components and subsystems different methods and model approaches are available, which are not compatible in any case. Depending on the system, use case and available data, the existing model approaches and modelling methods are differently suitable for a precise lifetime prediction. In this contribution a procedure was developed to help in the selection of suitable approach-method combinations. For this purpose, the compatibility of method types with the different model approaches was assessed and criteria for the pre-selection of suitable approaches and methods for lifetime modelling were defined. The selection procedure was applied to the example of entities for electric powertrains of aircraft in early design stages. Finally, the results were summarized and evaluated. The insights gained in this paper can help to enhance lifetime models of products in early design phases.

Keywords: Product Lifecycle Management (PLM), Product modelling / models, Optimisation, Lifetime Heterogeneity, Aircraft

Please sign in to your account

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.