Home › Entities › academia › Condition monitoring of ball bearings using estimated AR models as logistic regression features

Condition monitoring of ball bearings using estimated AR models as logistic regression features

Research article (2019 18th European Control Conference (ECC), 2019) · cited 11× · AI/ML
academia openalex:W2967181082
Press Enter · cited answer in seconds

Condition monitoring of ball bearings using estimated AR models as logistic regression features

Summary

Condition monitoring of ball bearings using estimated AR models as logistic regression features is a scholarly article[1].

Key Facts

  • Condition monitoring of ball bearings using estimated AR models as logistic regression features's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Condition monitoring of ball bearings using estimated AR models as logistic regression features. Retrieved May 24, 2026, from https://4ort.xyz/entity/condition-monitoring-of-ball-bearings-using-estimated-ar-models-as-logistic-regression-features
MLA “Condition monitoring of ball bearings using estimated AR models as logistic regression features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/condition-monitoring-of-ball-bearings-using-estimated-ar-models-as-logistic-regression-features.
BibTeX @misc{4ortxyz_condition-monitoring-of-ball-bearings-using-estimated-ar-models-as-logistic-regression-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Condition monitoring of ball bearings using estimated AR models as logistic regression features}}, year = {2026}, url = {https://4ort.xyz/entity/condition-monitoring-of-ball-bearings-using-estimated-ar-models-as-logistic-regression-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Condition monitoring of ball bearings using estimated AR models as logistic regression features — https://4ort.xyz/entity/condition-monitoring-of-ball-bearings-using-estimated-ar-models-as-logistic-regression-features (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/condition-monitoring-of-ball-bearings-using-estimated-ar-models-as-logistic-regression-features · Last refreshed: