Can I read LSTM Model-Based Fault Detection for Electric Vehicle’s Battery Packs on EtoBox?

LSTM Model-Based Fault Detection for Electric Vehicle’s Battery Packs by Grzegorz Wójcik; Piotr Przystałka is a book available to read on EtoBox.

What is LSTM Model-Based Fault Detection for Electric Vehicle’s Battery Packs about?

The main subject matter of the book is related to the demands of research and industrial centers for diagnostics, monitoring, and decision-making systems that result from the increasing complexity of automation and systems, the need to ensure the highest level of reliability and safety, and continuing research and the development of innovative approaches to fault diagnosis. Most welcome are combinations of domains of engineering knowledge for diagnosis, including detection, isolation, localization, identification, reconfiguration, and fault-tolerant control. This field is open to new challenges, including industrial diagnostics, diagnostics of computer systems and networks, as well as non-industrial applications in the form of medical diagnostics, especially those based on artificial intelligence and deep neural networks. Our community is mainly interested in the following six topics: (i) fault detection, isolation, and identification (FDI); (ii) fault-tolerant control systems; (iii) process safety, quality, and reliability; (iv) medical diagnostics; as well as (v) methodologies based on mathematical modeling, parameter identification and state estimation, qualitative models, stati

Author

Grzegorz Wójcik; Piotr Przystałka

Publisher

Springer International Publishing Springer

Published

2022

Language

EN

ISBN

9783031161582

Subjects

Engineering, Computer Science, Stem