Model-Based Fault Diagnosis and Fault-Tole...

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

114,95 €

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 4-7 Werktage

Kategorien:

Beschreibung

Alia Salah introduces a multi-functional, model-based method for fault detection and identification in automotive electric machines. This approach integrates current vehicle diagnostics to detect faults early, before component failure. It utilizes digital twins and parameter estimation, alongside machine learning classification, to identify fault type and location. Moreover, it incorporates model reference adaptive control for fault-tolerant control, helping to maintain performance and ensure a safe driving experience.

Über den Autor

Alia Salah holds a doctoral degree in Automotive Mechatronics Engineering from University of Stuttgart, Germany. She is active in the electro-mobility field, automotive diagnostics and the development of control concepts for automotive electric machines. Her expertise extends to the development of anomaly detection concepts, predictive maintenance, and data science within the automotive domain. She has an extensive history of research publications in these fields.

Inhaltsverzeichnis

Derivation of an equivalent mathematical model for the automotive electric power generation and storage system.- Providing a study on the effects of common faults on the performance of automotive electric machines.- Development of a concept for fault detection and identification for automotive electric machines.- Development of a concept for active fault-tolerant control based on model reference adaptive control.- Development of simulation models to prove the effectiveness of the proposed concepts.

Details

Erscheinungsjahr:	2025
Fachbereich:	Fertigungstechnik
Genre:	Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart
Inhalt:	xxxi 138 S. 37 s/w Illustr. 34 farbige Illustr. 138 p. 71 illus. 34 illus. in color.
ISBN-13:	9783658501075
ISBN-10:	3658501073
Sprache:	Englisch
Herstellernummer:	89587057
Einband:	Kartoniert / Broschiert
Autor:	Salah, Alia
Hersteller:	Springer Springer Fachmedien Wiesbaden GmbH Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart
Verantwortliche Person für die EU:	Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, D-65189 Wiesbaden, juergen.hartmann@springer.com
Maße:	210 x 148 x 10 mm
Von/Mit:	Alia Salah
Erscheinungsdatum:	09.11.2025
Gewicht:	0,231 kg

Artikel-ID: 134223479