Fault prediction for nonlinear system using sliding ARMA combined with online LS-SVR

DOI10.1155/2014/692848zbMath1407.93407OpenAlexW2021735363WikidataQ59069005 ScholiaQ59069005MaRDI QIDQ1718947

Shengchao Su, Wei Zhang, Shu-Guang Zhao

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/692848

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Data smoothing in stochastic control theory (93E14)

Cites Work

• Weighted least squares support vector machines: robustness and sparse approximation
• Nonlinear time series. Nonparametric and parametric methods
• Strong tracking filtering of nonlinear time-varying stochastic systems with coloured noise: application to parameter estimation and empirical robustness analysis

This page was built for publication: Fault prediction for nonlinear system using sliding ARMA combined with online LS-SVR