The news reporters obtained a quote from the research from
According to the news reporters, the research concluded: "Our approach is compared with several state-of-the-art approaches including a PCA-based approach, a univariate time-series analysis, a one-class SVM (fault-free) pattern recognizer in the signal space and a combined approach based on time-series model parameter changes."
For more information on this research see: Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills. Information Sciences, 2014;259():304-320. Information Sciences can be contacted at:
Our news correspondents report that additional information may be obtained by contacting F. Serdio,
Keywords for this news article include: Linz,
Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC
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