Imbalanced fault diagnosis of rotating machinery via multi-domain feature extraction and cost-sensitive learning
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DOI: 10.1007/s10845-019-01522-8
Abstract: Fault diagnosis plays an essential role in rotating machinery manufacturing systems to reduce their maintenance costs. How to improve diagnosis accuracy remains an open issue. To this end, we develop a novel framework through combined… read more here.
Keywords: feature; diagnosis; cost sensitive; sensitive learning ... See more keywords
Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study
Sign Up to like & getrecommendations! Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.832
Abstract: High dimensionality and class imbalance have been largely recognized as important issues in machine learning. A vast amount of literature has indeed investigated suitable approaches to address the multiple challenges that arise when dealing with… read more here.
Keywords: comparative study; imbalanced data; sensitive learning; cost sensitive ... See more keywords