Fault size diagnosis of rolling element bearing using artificial neural network and dimension theory
Summary
Fault size diagnosis of rolling element bearing using artificial neural network and dimension theory is a scholarly article[1].
Key Facts
Fault size diagnosis of rolling element bearing using artificial neural network and dimension theory's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Fault size diagnosis of rolling element bearing using artificial neural network and dimension theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-size-diagnosis-of-rolling-element-bearing-using-artificial-neural-network-and-dimension-theory
MLA“Fault size diagnosis of rolling element bearing using artificial neural network and dimension theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-size-diagnosis-of-rolling-element-bearing-using-artificial-neural-network-and-dimension-theory.
BibTeX@misc{4ortxyz_fault-size-diagnosis-of-rolling-element-bearing-using-artificial-neural-network-and-dimension-theory_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault size diagnosis of rolling element bearing using artificial neural network and dimension theory}}, year = {2026}, url = {https://4ort.xyz/entity/fault-size-diagnosis-of-rolling-element-bearing-using-artificial-neural-network-and-dimension-theory}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fault size diagnosis of rolling element bearing using artificial neural network and dimension theory — https://4ort.xyz/entity/fault-size-diagnosis-of-rolling-element-bearing-using-artificial-neural-network-and-dimension-theory (retrieved 2026-05-24)
