Model-Based Fault Diagnosis and Fault-Tolerant Control

Anglický jazyk

Model-Based Fault Diagnosis and Fault-Tolerant Control

Na objednávku

118.79 €

bežná cena: 131.99 €

O knihe

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.

Content

Study on the effects of common faults on the performance of automotive electric machines
A Concept for fault detection and identification for automotive electric machines, for active fault-tolerant control based on model reference adaptive control and of simulation models to prove the effectiveness of the proposed concepts

Target Groups

Researchers and students in the field of electro-mobility and electric drives
Development engineers and specialists who focus on electro-mobility, vehicle diagnostics and control systems

About the Author

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.