Title :
Construction of diagnostic features space using Volterra kernels moments
Author :
Oleksandr Fomin;Vitaliy Pavlenko
Author_Institution :
Department of computerized control system, Odessa National Polytechnic University, Odessa, Ukraine
Abstract :
The paper presents an informational technology for improving the reliability of nonlinear dynamic objects fault diagnosing using model-based diagnostics method of nonparametric identification. Diagnostic models build on the base of Volterra kernels moments. The efficiency of the proposed diagnostic models analyzes on an nonlinear dynamic objects simulation model.
Keywords :
"Kernel","Noise","Nonlinear dynamical systems","Computational modeling","Aerospace electronics","Reliability","Mathematical model"
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2015 20th International Conference on
DOI :
10.1109/MMAR.2015.7284019
