IEEE - Institute of Electrical and Electronics Engineers, Inc. - Application of genetic algorithm in selection of dominant input variables in sensor fault diagnosis of nonlinear systems

2013 IEEE Conference on Prognostics and Health Management (PHM)

Author(s): Mohamed Elkoujok ; Mohieddine Benammar ; Nader Meskin ; Mohamed Al-Naemi ; Reza Langari
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2013
Conference Location: Gaithersburg, MD, USA
Conference Date: 24 June 2013
Page(s): 1 - 7
ISBN (CD): 978-1-4673-5722-7
ISBN (Electronic): 978-1-4673-5723-4
DOI: 10.1109/ICPHM.2013.6621411
Regular:

Industrial processes rely heavily on information provided by sensors. Reliability of sensor data is vital to assure an acceptable performance of these complex and nonlinear processes. In this... View More

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