@inbook{3f726e0e9a374483bbc5ef190c4c8f0c,
title = "A Robust Approach for Fault Diagnosis in Railway Suspension Systems",
abstract = "Due to the increased popularity of railway transportation, maximizing the availability of both vehicles and infrastructure is on high demand. To fulfill this requirement, the development of efficient maintenance strategies is in the focus of research in this area. Such strategies require a robust estimation and prediction of the vehicle{\textquoteright}s component health states. In this chapter, a sliding-mode-based algorithm is proposed as a solution for the identification of suspension parameters, which are credible representatives of the operational status. The accuracy of the estimation, robustness to model uncertainties, and sensitivity to faults are shown through different test scenarios in a simulation environment.",
keywords = "Fault diagnosis, railway systems",
author = "Selma Zoljic-Beglerovic and {Ali Golkani}, Mohammad and Martin Steinberger and Bernd Luber and Martin Horn",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.",
year = "2023",
doi = "10.1007/978-3-031-37089-2_17",
language = "English",
isbn = "978-3-031-37088-5",
series = "Studies in Systems, Decision and Control",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "437--459",
editor = "Oliveira, {T. R.} and L. Fridman and L. Hsu",
booktitle = "Sliding-Mode Control and Variable-Structure Systems",
address = "Germany",
}