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Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings

Research article (IEEE Transactions on Reliability, 2017) · cited 53× · AI/ML
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Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings

Summary

Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings is a scholarly article[1].

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  • Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings. Retrieved May 24, 2026, from https://4ort.xyz/entity/locally-linear-embedding-on-grassmann-manifold-for-performance-degradation-assessment-of-bearings
MLA “Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/locally-linear-embedding-on-grassmann-manifold-for-performance-degradation-assessment-of-bearings.
BibTeX @misc{4ortxyz_locally-linear-embedding-on-grassmann-manifold-for-performance-degradation-assessment-of-bearings_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings}}, year = {2026}, url = {https://4ort.xyz/entity/locally-linear-embedding-on-grassmann-manifold-for-performance-degradation-assessment-of-bearings}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings — https://4ort.xyz/entity/locally-linear-embedding-on-grassmann-manifold-for-performance-degradation-assessment-of-bearings (retrieved 2026-05-24)

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