NDLI: A robust fault estimation scheme for heavy-haul trains equipped with ECP brake systems

Content Provider	IEEE Xplore Digital Library
Author	Yufu Qin Jun Peng Xiaoyong Zhang Yingze Yang Fu Jiang
Copyright Year	2014
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China (Yufu Qin; Jun Peng; Xiaoyong Zhang; Yingze Yang; Fu Jiang)
Abstract	In this paper, the fault detection and isolation problems (FDI) of heavy-haul trains equipped with electronically controlled pneumatic (ECP) brake system are studied. A longitudinal dynamical model and the fault modes of trains are considered. A fault detection estimator bases on the nonlinear observer is designed to generate residual for detecting fault. After the fault is detected, a group of fault isolation estimators with different residuals and thresholds can be designed, each estimator corresponds to one possible actuator fault of trains. And in each fault isolation estimator, the unknown actuator fault of trains can be estimate simultaneously by introduce a learning algorithm. A simulation analysis is proposed to show the validity of the designed FDI scheme, by using the parameters from the heavy-haul trains system running on Datong-Qinhuangdao railway in China.
Starting Page	2831
Ending Page	2836
File Size	398350
Page Count	6
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852655
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Actuators Adaptation models heavy-haul trains Fault detection ECP brake systems Observers Robustness Mathematical model Circuit faults fault detection and isolation online nonlinear estimator
Content Type	Text
Resource Type	Article

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