Feature Weight Algorithm Based On Fault Diagnosis
YU Qing-min
LI Xiao-lei
TIAN Li-rui
Abstract：In this paper, a new feature weight algorithm is proposed, which is based on fault diagnosis using PCA. Firstly, PCA model is established based on existing data offline. Secondly, we can input monitoring data online for fault diagnosis. Lastly, according to the results of fault diagnosis, the weight of each feature on fault point can be get. Experimental results show that the algorithm is effective.
Keywords：pattern recognition and intelligent systemfeature weightfault diagnosisPCA
Publication Date：2015-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：4( 240-243 )