Back to Search
Start Over
F2G: A hybrid fault-function graphical model for reliability analysis of complex equipment with coupled faults.
- Source :
-
Reliability Engineering & System Safety . Oct2022, Vol. 226, pN.PAG-N.PAG. 1p. - Publication Year :
- 2022
-
Abstract
- • A novel F2G model is proposed for the reliability modeling of coupled faults. • The functional logics and fault logics are integrated in F2G model. • All the standardized meta models and calculation rules used in F2G are defined. • The proposed method is validated by empirical case. Reliability analysis plays a crucial role in revealing the failure causes and determining the improvement measures for reliability growth. However, reliability analysis of complex equipment with coupled faults still corresponds to a challenging task, due to unclear coupling mechanism and unsuitable analysis model. A down-top, deductive modeling method, named as fault-function graph (F2G), is proposed. First, the meta models are defined to normalize all the atomic faults, coupling relations and coupling forms in modeling. Next, an initial fault model is constructed based on typical fault-relations and coupling forms. Furthermore, the functional hierarchy of fault determined by IDEF0 is appended. Lastly, the rigorous modeling rules and computing processes are explained based on an actual case. As a graphical modeling method, it handles the coupling faults by integrating the system functional and fault information. Exploiting the advantages of conventional models, the coupling relations are quantified, and the false relations are detected based on functional constraints. Therefore, the proposed method can be used flexibly in the reliability modeling of coupled faults. Moreover, it provides a foundation for the comprehensive and dynamic reliability analysis and the failure mechanism mining of complex equipment, and it can be used in other engineering applications as well. [ABSTRACT FROM AUTHOR]
- Subjects :
- *RELIABILITY in engineering
*FAILURE analysis
Subjects
Details
- Language :
- English
- ISSN :
- 09518320
- Volume :
- 226
- Database :
- Academic Search Index
- Journal :
- Reliability Engineering & System Safety
- Publication Type :
- Academic Journal
- Accession number :
- 158292934
- Full Text :
- https://doi.org/10.1016/j.ress.2022.108662