Robust Parameter Identification for Railway Suspension Systems

Selma Žoljić-Beglerović, Mohammad Ali Golkani, Martin Steinberger, Martin Horn

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Abstract

Detecting faults at the right time is crucial both for adequate maintenance and optimal operation of railway vehicles. The increasing complexity of the modern railway system pose a challenge for appropriate fault diagnosis and isolation (FDI). In this paper, a sliding-mode-based parameter identification algorithm is proposed as a solution for the identification of parameters in a simplified railway system. It is assessed on different faulty cases where the accuracy of the estimation and sensitivity to faults are shown, as well as robustness to model uncertainties. The data used for simulations and algorithm evaluation is generated using a validated Multibody Simulation (MBS) model implemented in Simpack, while the numerical simulations are carried out through MATLAB/Simulink.
Original languageEnglish
Title of host publication15th International Workshop on Variable Structure Systems (VSS)
Pages432-437
DOIs
Publication statusPublished - 2018
Event15th International Workshop on Variable Structure Systems - Graz University of Technology, Graz, Austria
Duration: 9 Jul 2018 → 11 Jul 2018

Conference

Conference15th International Workshop on Variable Structure Systems
Abbreviated titleVSS 2018
CountryAustria
CityGraz
Period9/07/18 → 11/07/18

Fingerprint

Identification (control systems)
MATLAB
Failure analysis
Computer simulation
Uncertainty

Cite this

Robust Parameter Identification for Railway Suspension Systems. / Žoljić-Beglerović, Selma; Golkani, Mohammad Ali; Steinberger, Martin; Horn, Martin.

15th International Workshop on Variable Structure Systems (VSS) . 2018. p. 432-437.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Žoljić-Beglerović, S, Golkani, MA, Steinberger, M & Horn, M 2018, Robust Parameter Identification for Railway Suspension Systems. in 15th International Workshop on Variable Structure Systems (VSS) . pp. 432-437, 15th International Workshop on Variable Structure Systems, Graz, Austria, 9/07/18. https://doi.org/10.1109/VSS.2018.8460281
Žoljić-Beglerović S, Golkani MA, Steinberger M, Horn M. Robust Parameter Identification for Railway Suspension Systems. In 15th International Workshop on Variable Structure Systems (VSS) . 2018. p. 432-437 https://doi.org/10.1109/VSS.2018.8460281
Žoljić-Beglerović, Selma ; Golkani, Mohammad Ali ; Steinberger, Martin ; Horn, Martin. / Robust Parameter Identification for Railway Suspension Systems. 15th International Workshop on Variable Structure Systems (VSS) . 2018. pp. 432-437
@inproceedings{a2461e5c67a54b6bb4bd7049442686a1,
title = "Robust Parameter Identification for Railway Suspension Systems",
abstract = "Detecting faults at the right time is crucial both for adequate maintenance and optimal operation of railway vehicles. The increasing complexity of the modern railway system pose a challenge for appropriate fault diagnosis and isolation (FDI). In this paper, a sliding-mode-based parameter identification algorithm is proposed as a solution for the identification of parameters in a simplified railway system. It is assessed on different faulty cases where the accuracy of the estimation and sensitivity to faults are shown, as well as robustness to model uncertainties. The data used for simulations and algorithm evaluation is generated using a validated Multibody Simulation (MBS) model implemented in Simpack, while the numerical simulations are carried out through MATLAB/Simulink.",
author = "Selma Žoljić-Beglerović and Golkani, {Mohammad Ali} and Martin Steinberger and Martin Horn",
year = "2018",
doi = "10.1109/VSS.2018.8460281",
language = "English",
pages = "432--437",
booktitle = "15th International Workshop on Variable Structure Systems (VSS)",

}

TY - GEN

T1 - Robust Parameter Identification for Railway Suspension Systems

AU - Žoljić-Beglerović, Selma

AU - Golkani, Mohammad Ali

AU - Steinberger, Martin

AU - Horn, Martin

PY - 2018

Y1 - 2018

N2 - Detecting faults at the right time is crucial both for adequate maintenance and optimal operation of railway vehicles. The increasing complexity of the modern railway system pose a challenge for appropriate fault diagnosis and isolation (FDI). In this paper, a sliding-mode-based parameter identification algorithm is proposed as a solution for the identification of parameters in a simplified railway system. It is assessed on different faulty cases where the accuracy of the estimation and sensitivity to faults are shown, as well as robustness to model uncertainties. The data used for simulations and algorithm evaluation is generated using a validated Multibody Simulation (MBS) model implemented in Simpack, while the numerical simulations are carried out through MATLAB/Simulink.

AB - Detecting faults at the right time is crucial both for adequate maintenance and optimal operation of railway vehicles. The increasing complexity of the modern railway system pose a challenge for appropriate fault diagnosis and isolation (FDI). In this paper, a sliding-mode-based parameter identification algorithm is proposed as a solution for the identification of parameters in a simplified railway system. It is assessed on different faulty cases where the accuracy of the estimation and sensitivity to faults are shown, as well as robustness to model uncertainties. The data used for simulations and algorithm evaluation is generated using a validated Multibody Simulation (MBS) model implemented in Simpack, while the numerical simulations are carried out through MATLAB/Simulink.

U2 - 10.1109/VSS.2018.8460281

DO - 10.1109/VSS.2018.8460281

M3 - Conference contribution

SP - 432

EP - 437

BT - 15th International Workshop on Variable Structure Systems (VSS)

ER -

Access to Document