Enhanced K-Nearest Neighbor for Intelligent Fault Diagnosis of Rotating Machinery

Enhanced K-Nearest Neighbor for Intelligent Fault Diagnosis of Rotating Machinery

Case-based intelligent fault diagnosis methods of rotating machinery can deal with new faults effectively by adding them into the case library. However, case-based methods scarcely refer to automatic feature extraction, and k-nearest neighbor (KNN) commonly required by case-based methods is unable t...

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Bibliographic Details
Main Authors: Jiantao Lu, Weiwei Qian, Shunming Li, Rongqing Cui
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
intelligent fault diagnosis
rotating machinery
correlation vector
k-nearest neighbor
sparse filtering
sparse coding
Online Access:https://www.mdpi.com/2076-3417/11/3/919

Internet

https://www.mdpi.com/2076-3417/11/3/919

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