HIGHLIGHTS
- who: Muhammad Ahmer from the EISLAB, Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden have published the article: Failure mode classification for condition-based maintenance in a bearing ring grinding machine, in the Journal: (JOURNAL)
- what: The aim of this paper is to present an efficient diagnostic framework for failure mode classification as part of a cost-effective CBM implementation in a bearing ring grinder. According to the classification approach proposed in this article, the top features are identified for the binary classification, i.e., the features to detect the presence . . .
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