A novel feature extraction method for roller bearing using sparse decomposition based on self-Adaptive complete dictionary

Research article (Measurement, 2019) · cited 26× · AI/ML
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A novel feature extraction method for roller bearing using sparse decomposition based on self-Adaptive complete dictionary

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A novel feature extraction method for roller bearing using sparse decomposition based on self-Adaptive complete dictionary is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A novel feature extraction method for roller bearing using sparse decomposition based on self-Adaptive complete dictionary. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-feature-extraction-method-for-roller-bearing-using-sparse-decomposition-based-on-self-adaptive-complete-dictiona
MLA “A novel feature extraction method for roller bearing using sparse decomposition based on self-Adaptive complete dictionary.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-feature-extraction-method-for-roller-bearing-using-sparse-decomposition-based-on-self-adaptive-complete-dictiona.
BibTeX @misc{4ortxyz_a-novel-feature-extraction-method-for-roller-bearing-using-sparse-decomposition-based-on-self-adaptive-complete-dictiona_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel feature extraction method for roller bearing using sparse decomposition based on self-Adaptive complete dictionary}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-feature-extraction-method-for-roller-bearing-using-sparse-decomposition-based-on-self-adaptive-complete-dictiona}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel feature extraction method for roller bearing using sparse decomposition based on self-Adaptive complete dictionary — https://4ort.xyz/entity/a-novel-feature-extraction-method-for-roller-bearing-using-sparse-decomposition-based-on-self-adaptive-complete-dictiona (retrieved 2026-05-24)

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