A mechanism-driven failure causality modeling approach for mechanical systems combining causal ordering theory and Ishikawa diagram
Abstract Failure causality modeling plays a critical role in mechanical system diagnostics. Current methods primarily rely on empirical knowledge and historical datasets, resulting in constrained applicability and inconsistent predictive accuracy. To address these limitations, this study proposes a...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2025-07-01
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| Serie: | Scientific Reports |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1038/s41598-025-12459-9 |
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