Fault detection and isolation for a nonlinear railway vehicle suspension with a Hybrid Extended Kalman filter-Reference-Cited by-同舟云学术

Fault detection and isolation for a nonlinear railway vehicle suspension with a Hybrid Extended Kalman filter

Published:2013-10 Issue:10 Volume:51 Page:1489-1501
ISSN:0042-3114
Container-title:Vehicle System Dynamics
language:en
Short-container-title:Vehicle System Dynamics

Author:

Jesussek Mathias,Ellermann Katrin

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Safety, Risk, Reliability and Quality,Automotive Engineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/00423114.2013.810764

Reference15 articles.

1. Estimation of railway vehicle suspension parameters for condition monitoring

2. Estimation of parameters in a linear state space model using a Rao-Blackwellised particle filter

3. Li, P and Goodall, R M. “Model-based condition monitoring for railway vehicle systems”. Edited by: Sahinkaya, M N and Edge, K A. Control 2004; 2004 Sep 6–9; Bath (UK).

4. Model based fault detection of vehicle suspension and hydraulic brake systems

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