An Auto-Associative Residual Processing and K-means Clustering Approach for Anemometer Health Assessment

This paper presents a health assessment methodology, as well as specific residual processing and figure of merit algorithms for anemometers in two different configurations. The methodology and algorithms are applied to data sets provided by the Prognostics and Health Management Society 2011 Data Cha...

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Bibliographic Details
Main Authors: David Siegel, Jay Lee
Format: Article
Language:English
Published: The Prognostics and Health Management Society 2011-01-01
Series:International Journal of Prognostics and Health Management
Subjects:
Online Access:http://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2011/ijPHM_11_014.pdf