A sparse fault degradation oriented fisher discriminant analysis (FDFDA) algorithm for faulty variable isolation and its industrial application
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DOI: 10.1016/j.conengprac.2019.07.007
Abstract: Abstract In a fault process, the variables may be influenced differently. In order to improve the diagnosis performance, it is an important issue to isolate those significant faulty variables that cover informative fault effects. However,… read more here.
Keywords: faulty; fdfda algorithm; faulty variables; faulty variable ... See more keywords