Physics-embedding multi-response regressor for time-variant system reliability assessment

Verfasst von

Lu Kai Song, Fei Tao, Xue Qin Li, Le Chang Yang, Yu Peng Wei, Michael Beer

Abstract

Efficient time-variant reliability assessment for complex systems is of great interest but challenging as the highly complex multiple output responses under time-variant uncertainties are hard to quantify. The task becomes even more challenging if the interconnected dependencies between multiple failure modes are involved. In this study, an eXtreme physics-embedding multi-response regressor (X-PMR) is presented for time-variant system reliability assessment. Firstly, by transforming time-variant multiple responses to time-invariant extreme values, an eXtreme multi-domain transformation concept is presented, to establish the time-invariant multi-input multi-output (TiMIMO) dataset; moreover, by embedding physics/mathematics knowledge into multi-objective ensemble modeling, a physics-embedding multi-response regressor is proposed, to synchronously construct the surrogate model for highly complex multiple output responses. The validation effectiveness and benefit illustration of the X-PMR method are revealed by introducing three numerical systems (i.e., series system, parallel system and series/parallel hybrid system) and a real application system (i.e., dynamic aeroengine turbine blisk), in comparison with a number of state-of-the-art methods investigated in the literature. The current efforts can provide a novel sight to address the time-variant system reliability assessment problems.

Details

Organisationseinheit(en)
Institut für Risiko und Zuverlässigkeit
Externe Organisation(en)
Beihang University
City University of Hong Kong
University of Science and Technology Beijing
The University of Liverpool
Tongji University
Typ
Artikel
Journal
Reliability Engineering and System Safety
Band
263
Anzahl der Seiten
17
ISSN
0951-8320
Publikationsdatum
11.2025
Publikationsstatus
Veröffentlicht
Peer-reviewed
Ja
ASJC Scopus Sachgebiete
Sicherheit, Risiko, Zuverlässigkeit und Qualität, Wirtschaftsingenieurwesen und Fertigungstechnik
Elektronische Version(en)
https://doi.org/10.1016/j.ress.2025.111262 (Zugang: Geschlossen )