Home ›
Entities
› academia
› A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm
A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm
Research article (ISA Transactions, 2023) · cited 36× · AI/ML
A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm
Summary
A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm is a scholarly article[1].
Key Facts
A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm'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). A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-fault-classification-feature-extraction-method-for-rolling-bearing-based-on-multi-sensor-fusion-technology-and-e
MLA“A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-fault-classification-feature-extraction-method-for-rolling-bearing-based-on-multi-sensor-fusion-technology-and-e.
BibTeX@misc{4ortxyz_a-novel-fault-classification-feature-extraction-method-for-rolling-bearing-based-on-multi-sensor-fusion-technology-and-e_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-fault-classification-feature-extraction-method-for-rolling-bearing-based-on-multi-sensor-fusion-technology-and-e}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel fault classification feature extraction method for rolling bearing based on multi-sensor fusion technology and EB-1D-TP encoding algorithm — https://4ort.xyz/entity/a-novel-fault-classification-feature-extraction-method-for-rolling-bearing-based-on-multi-sensor-fusion-technology-and-e (retrieved 2026-05-24)
