Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
621691 | Chemical Engineering Research and Design | 2013 | 12 Pages |
Abstract
⺠We present a fault diagnosis procedure to discriminate a true fault among multiple fault candidates. ⺠Fault magnitude is employed as a key variable for effective fault diagnosis. ⺠Signed digraph, principal component analysis and support vector regression are employed.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Filtration and Separation
Authors
Chang Jun Lee, Gibaek Lee, Jong Min Lee,