Technology of intelligent diagnostics based on Volterra kernels moments

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.

DOI: 10.1109/IDAACS.2015.7341412

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Cite this paper

@article{Fomin2015TechnologyOI, title={Technology of intelligent diagnostics based on Volterra kernels moments}, author={Oleksandr Fomin and Andrew Medvedev and Vitaliy D. Pavlenko}, journal={2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)}, year={2015}, volume={2}, pages={796-801} }