A Novel Method to Classify Rolling Element Bearing Faults Using K-Nearest Neighbor Machine Learning Algorithm
Summary
A Novel Method to Classify Rolling Element Bearing Faults Using K-Nearest Neighbor Machine Learning Algorithm is a scholarly article[1].
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A Novel Method to Classify Rolling Element Bearing Faults Using K-Nearest Neighbor Machine Learning Algorithm's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Novel Method to Classify Rolling Element Bearing Faults Using <i>K</i>-Nearest Neighbor Machine Learning Algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-method-to-classify-rolling-element-bearing-faults-using-i-k-i-nearest-neighbor-machine-learning-algorithm
MLA“A Novel Method to Classify Rolling Element Bearing Faults Using <i>K</i>-Nearest Neighbor Machine Learning Algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-method-to-classify-rolling-element-bearing-faults-using-i-k-i-nearest-neighbor-machine-learning-algorithm.
BibTeX@misc{4ortxyz_a-novel-method-to-classify-rolling-element-bearing-faults-using-i-k-i-nearest-neighbor-machine-learning-algorithm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Method to Classify Rolling Element Bearing Faults Using <i>K</i>-Nearest Neighbor Machine Learning Algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-method-to-classify-rolling-element-bearing-faults-using-i-k-i-nearest-neighbor-machine-learning-algorithm}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Method to Classify Rolling Element Bearing Faults Using <i>K</i>-Nearest Neighbor Machine Learning Algorithm — https://4ort.xyz/entity/a-novel-method-to-classify-rolling-element-bearing-faults-using-i-k-i-nearest-neighbor-machine-learning-algorithm (retrieved 2026-05-24)
