Data-driven fault diagnosis for complex industrial processes: towards fault prediction, detection and identification
Auteur :
Yin, Hongpeng / Zhou, Han / Chai, Yi / Tang, Qiu
Éditeur :
Springer Nature Switzerland AG
ISBN :
9789819631520
Date de publication :
16 avr. 2025
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
This book summarizes techniques of fault prediction, detection, and identification, all included specifically in the data-driven fault diagnosis requirements within industrial processes, drawing from the combination of data science, machine learning, and domain-specific expertise.