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Data-Driven Fault Diagnosis for Complex Industrial Processes Towards Fault Prediction, Detection and Identification

Hoofdkenmerken

Auteur:	Yin, Hongpeng; Zhou, Han
Titel:	Data-Driven Fault Diagnosis for Complex Industrial Processes Towards Fault Prediction, Detection and Identification
Uitgever:	Springer Nature Switzerland AG
ISBN:	9789819631520
ISBN boekversie:	9789819631537
Serie:	Engineering Applications of Computational Methods
Land van oorsprong:	Switzerland
Prijs:	€ 208.59
Verschijningsdatum:	16-04-2025
Bericht:	Langere levertijd (2-3 weken)

Inhoudelijke kenmerken

Categorie:	Instruments & instrumentation engineering
Geillustreerd:	79 Illustrations, color; 7 Illustrations, black and white

Technische kenmerken

Verschijningsvorm:	Hardback
Paginas:	208
Hoogte mm.:	235
Breedte mm.:	155

Inhoud:

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.