Home ›
Entities
› academia
› Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines
Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines
Research article (Applied Acoustics, 2021) · cited 54× · AI/ML
Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines
Summary
Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines is a scholarly article[1].
Key Facts
Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines'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). Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-diagnosis-and-severity-analysis-of-rolling-bearings-using-vibration-image-texture-enhancement-and-multiclass-suppo
MLA“Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-diagnosis-and-severity-analysis-of-rolling-bearings-using-vibration-image-texture-enhancement-and-multiclass-suppo.
BibTeX@misc{4ortxyz_fault-diagnosis-and-severity-analysis-of-rolling-bearings-using-vibration-image-texture-enhancement-and-multiclass-suppo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines}}, year = {2026}, url = {https://4ort.xyz/entity/fault-diagnosis-and-severity-analysis-of-rolling-bearings-using-vibration-image-texture-enhancement-and-multiclass-suppo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fault diagnosis and severity analysis of rolling bearings using vibration image texture enhancement and multiclass support vector machines — https://4ort.xyz/entity/fault-diagnosis-and-severity-analysis-of-rolling-bearings-using-vibration-image-texture-enhancement-and-multiclass-suppo (retrieved 2026-05-24)
