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Application of genetic algorithm in selection of dominant input variables in sensor fault diagnosis of nonlinear systems
( 2013 IEEE International Conference on Prognostics and Health Management, PHM 2013 , 2013 , Conference)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 paper, the analytical redundancy ...