Home ›
Entities
› academia
› Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring
Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring
Research article (Reliability Engineering & System Safety, 2022) · cited 24× · AI/ML
Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring
Summary
Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring is a scholarly article[1].
Key Facts
Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring. Retrieved May 24, 2026, from https://4ort.xyz/entity/remaining-useful-life-prediction-framework-for-crack-propagation-with-a-case-study-of-railway-heavy-duty-coupler-conditi
MLA“Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/remaining-useful-life-prediction-framework-for-crack-propagation-with-a-case-study-of-railway-heavy-duty-coupler-conditi.
BibTeX@misc{4ortxyz_remaining-useful-life-prediction-framework-for-crack-propagation-with-a-case-study-of-railway-heavy-duty-coupler-conditi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring}}, year = {2026}, url = {https://4ort.xyz/entity/remaining-useful-life-prediction-framework-for-crack-propagation-with-a-case-study-of-railway-heavy-duty-coupler-conditi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Remaining useful life prediction framework for crack propagation with a case study of railway heavy duty coupler condition monitoring — https://4ort.xyz/entity/remaining-useful-life-prediction-framework-for-crack-propagation-with-a-case-study-of-railway-heavy-duty-coupler-conditi (retrieved 2026-05-24)
