Semi-supervised kernel partial least squares fault detection and identification approach with application to HGPWLTP
Author:
Affiliation:
1. College of Information Science and Engineering; Northeastern University; Shenyang Liaoning 110819 China
2. State Key Laboratory of Synthetical Automation of Process Industry; Northeastern University; Shenyang Liaoning 110819 China
Funder
China's National 973 program
NSF in China
Publisher
Wiley
Subject
Applied Mathematics,Analytical Chemistry
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