Home ›
Entities
› academia
› A novel method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy
A novel method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy
Research article (Measurement, 2019) · cited 51× · AI/ML
A novel method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy
Summary
A novel method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy is a scholarly article[1].
Key Facts
A novel method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy'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 method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-method-to-classify-bearing-faults-by-integrating-standard-deviation-to-refined-composite-multi-scale-fuzzy-entro
MLA“A novel method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-method-to-classify-bearing-faults-by-integrating-standard-deviation-to-refined-composite-multi-scale-fuzzy-entro.
BibTeX@misc{4ortxyz_a-novel-method-to-classify-bearing-faults-by-integrating-standard-deviation-to-refined-composite-multi-scale-fuzzy-entro_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-method-to-classify-bearing-faults-by-integrating-standard-deviation-to-refined-composite-multi-scale-fuzzy-entro}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy — https://4ort.xyz/entity/a-novel-method-to-classify-bearing-faults-by-integrating-standard-deviation-to-refined-composite-multi-scale-fuzzy-entro (retrieved 2026-05-24)
