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). An intelligent fault diagnosis method based on curve segmentation and SVM for rail transit turnout. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-intelligent-fault-diagnosis-method-based-on-curve-segmentation-and-svm-for-rail-transit-turnout
MLA“An intelligent fault diagnosis method based on curve segmentation and SVM for rail transit turnout.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-intelligent-fault-diagnosis-method-based-on-curve-segmentation-and-svm-for-rail-transit-turnout.
BibTeX@misc{4ortxyz_an-intelligent-fault-diagnosis-method-based-on-curve-segmentation-and-svm-for-rail-transit-turnout_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An intelligent fault diagnosis method based on curve segmentation and SVM for rail transit turnout}}, year = {2026}, url = {https://4ort.xyz/entity/an-intelligent-fault-diagnosis-method-based-on-curve-segmentation-and-svm-for-rail-transit-turnout}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An intelligent fault diagnosis method based on curve segmentation and SVM for rail transit turnout — https://4ort.xyz/entity/an-intelligent-fault-diagnosis-method-based-on-curve-segmentation-and-svm-for-rail-transit-turnout (retrieved 2026-05-24)