Artificial intelligence in process fault diagnosis : methods for plant surveillance /

Artificial Intelligence in Process Fault Diagnosis A comprehensive guide to the future of process fault diagnosis Automation has revolutionized every aspect of industrial production, from the accumulation of raw materials to quality control inspections. Even process analysis itself has become subjec...

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Bibliographic Details

Main Author:	Fickelscherer, Richard J. (Author)
Format:	eBook
Language:	English
Published:	Hoboken, NJ : Wiley-AIChE, 2024.
Subjects:	Chemical process control > Data processing. Fault location (Engineering) > Data processing. Artificial intelligence > Industrial applications.
Online Access:	Connect to the full text of this electronic book