Gearbox degradation assessment based on a sparse representation feature and Euclidean distance technique

作者: Yunfei Ma , Xisheng Jia , Huajun Bai

DOI: 10.1080/14484846.2020.1720455

关键词: Sparse approximationArtificial intelligenceCompressed sensingDegradation (telecommunications)Euclidean distanceFeature extractionPattern recognitionFeature (computer vision)Computer science

摘要: Gearboxes have developed rapidly, and studies on gearbox degradation assessment are of great significance. In the interest obtaining an effective feature, a new methodology b...

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