Intelligent Prognostics for Engineering Systems with Machine Learning Techniques

The text discusses the latest data-driven, physics-based, and hybrid approaches employed in each stage of industrial prognostics and reliability estimation. It will be a useful text for senior undergraduate, graduate students, and academic researchers in areas such as industrial and production engineering

septembre 2023, env. 246 pages, Advanced Research in Reliability and System Assurance Engineering, Anglais
Taylor and Francis
978-1-03-205436-0

Autres titres de la collection: Advanced Research in Reliability and System Assurance Engineering

Afficher tout

Autres titres sur ce thème