Dominant Feature Identification for Industrial Fault Detection and Isolation Applications
Expert Systems with ApplicationsPublished 7 February 2011Open access
Jun-Hong Zhou, Chee Khiang Pang, Frank L. Lewis, Z.W. Zhong
Citations12
SJR quartileQ4
SJR score0.11
SNIP0.06
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TL;DR
This paper shows how to find a reduced feature subset which is optimal in both estimation and clustering least square errors using a new Dominant Feature Identification (DFI) method, and shows the effectiveness in fault diagnosis and classification.
Abstract
10.1016/j.eswa.2011.01.160
Keywords
Engineering
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