Home ›
Entities
› academia
› Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network
Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network
Research article (International Journal of Computational Intelligence Systems, 2021) · cited 13× · AI/ML
Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network
Summary
Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network is a scholarly article[1].
Key Facts
Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network'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). Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/size-and-location-diagnosis-of-rolling-bearing-faults-an-approach-of-kernel-principal-component-analysis-and-deep-belief
MLA“Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/size-and-location-diagnosis-of-rolling-bearing-faults-an-approach-of-kernel-principal-component-analysis-and-deep-belief.
BibTeX@misc{4ortxyz_size-and-location-diagnosis-of-rolling-bearing-faults-an-approach-of-kernel-principal-component-analysis-and-deep-belief_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network}}, year = {2026}, url = {https://4ort.xyz/entity/size-and-location-diagnosis-of-rolling-bearing-faults-an-approach-of-kernel-principal-component-analysis-and-deep-belief}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Size and Location Diagnosis of Rolling Bearing Faults: An Approach of Kernel Principal Component Analysis and Deep Belief Network — https://4ort.xyz/entity/size-and-location-diagnosis-of-rolling-bearing-faults-an-approach-of-kernel-principal-component-analysis-and-deep-belief (retrieved 2026-05-24)
