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Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering

Research article (2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015) · cited 22× · AI/ML
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Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering

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Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagnosis-of-bearing-defects-in-induction-motors-by-fuzzy-neighborhood-density-based-clustering
MLA “Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagnosis-of-bearing-defects-in-induction-motors-by-fuzzy-neighborhood-density-based-clustering.
BibTeX @misc{4ortxyz_diagnosis-of-bearing-defects-in-induction-motors-by-fuzzy-neighborhood-density-based-clustering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering}}, year = {2026}, url = {https://4ort.xyz/entity/diagnosis-of-bearing-defects-in-induction-motors-by-fuzzy-neighborhood-density-based-clustering}, note = {Accessed: 2026-05-24}}
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