Fault Identification Using Fast k-Nearest Neighbor Reconstruction

Fault Identification Using Fast k-Nearest Neighbor Reconstruction

Data with characteristics like nonlinear and non-Gaussian are common in industrial processes. As a non-parametric method, k-nearest neighbor (kNN) rule has shown its superiority in handling the data set with these complex characteristics. Once a fault is detected, to further identify the faulty vari...

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Bibliographic Details
Main Authors: Zhe Zhou, Zuxin Li, Zhiduan Cai, Peiliang Wang
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Processes
Subjects:
faulty variable identification
k-nearest neighbor estimation
variable contribution
process monitoring
Online Access:https://www.mdpi.com/2227-9717/7/6/340

Internet

https://www.mdpi.com/2227-9717/7/6/340

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