Téléchargez le livre :  Model-Based Fault Diagnosis and Fault-Tolerant Control

Model-Based Fault Diagnosis and Fault-Tolerant Control

An Approach for Automotive Electric Machines

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Éditeur :

Springer Vieweg


Paru le : 2025-11-07



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Description

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.
Pages
138 pages
Collection
n.c
Parution
2025-11-07
Marque
Springer Vieweg
EAN papier
9783658501075
EAN PDF
9783658501082

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
8151 Ko
Prix
126,59 €

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.

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