A Novel PF-LSSVR-based Framework for Failure Prognosis of Nonlinear Systems with Time-varying Parameters
Authors:
- Xiongzi ChenXCXiongzi Chen
- Jinsong YuJYJinsong Yu
- Diyin TangDTDiyin Tang
- Yingxun WangYWYingxun Wang
Open Access
- 1 October 2012
- journal article
- Published by Elsevier in Chinese Journal of Aeronautics
- Vol. 25 (5) , 715-724
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Particle filtering prognostic estimation of the remaining useful life of nonlinear componentsReliability Engineering & System Safety, 2011
- Machine Condition Prediction Based on Adaptive Neuro–Fuzzy and High-Order Particle FilteringIEEE Transactions on Industrial Electronics, 2010
- A prognostics and health management roadmap for information and electronics-rich systemsMicroelectronics Reliability, 2010
- Neural Network Model for the Dynamic Hysteresis Based on the Expanded Input SpaceActa Automatica Sinica, 2009
- Prognostics Methods for Battery Health Monitoring Using a Bayesian FrameworkIEEE Transactions on Instrumentation and Measurement, 2008
- Real-time Reliability Prediction for a Dynamic System Based on the Hidden Degradation Process IdentificationIEEE Transactions on Reliability, 2008
- A Particle Filtering Framework for Failure Prognosis2005
- A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian trackingIEEE Transactions on Signal Processing, 2002