Fault Diagnosis and Identification of Abnormal Variables Based on Center Nearest Neighbor Reconstruction Theory

Fault Diagnosis and Identification of Abnormal Variables Based on Center Nearest Neighbor Reconstruction Theory

Fault diagnosis and identification are important goals in ensuring the safe production of industrial processes. This article proposes a data reconstruction method based on Center Nearest Neighbor (CNN) theory for fault diagnosis and abnormal variable identification. Firstly, the <i>k</i>...

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Bibliographic Details
Main Authors: Guozhu Wang, Ruizhe Zhou, Fei Li, Xiang Li, Xinmin Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Mathematics
Subjects:
<i>k</i>-NN
center nearest neighbor
data reconstruction
fault detection
fault diagnosis
Online Access:https://www.mdpi.com/2227-7390/13/12/2035
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https://www.mdpi.com/2227-7390/13/12/2035

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