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Artificial Intelligence in Process Fault Diagnosis

Methods for Plant Surveillance de

Éditeur :

Wiley-AIChE


Paru le : 2024-01-23

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Description
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 subject to automated efficiencies, in the form of process fault analyzers, i.e., computer programs capable of analyzing process plant operations to identify faults, improve safety, and enhance productivity. Prohibitive cost and challenges of application have prevented widespread industry adoption of this technology, but recent advances in artificial intelligence promise to place these programs at the center of manufacturing process analysis.
Artificial Intelligence in Process Fault Diagnosis brings together insights from data science and machine learning to deliver an effective introduction to these advances and their potential applications. Balancing theory and practice, it walks readers through the process of choosing an ideal diagnostic methodology and the creation of intelligent computer programs. The result promises to place readers at the forefront of this revolution in manufacturing.
Artificial Intelligence in Process Fault Diagnosis readers will also find: Coverage of various AI-based diagnostic methodologies elaborated by leading expertsGuidance for creating programs that can prevent catastrophic operating disasters, reduce downtime after emergency process shutdowns, and moreComprehensive overview of optimized best practices
Artificial Intelligence in Process Fault Diagnosis is ideal for process control engineers, operating engineers working with processing industrial plants, and plant managers and operators throughout the various process industries.
Pages
432 pages
Collection
n.c
Parution
2024-01-23
Marque
Wiley-AIChE
EAN papier
9781119825890
EAN PDF
9781119825906
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
432
Taille du fichier
8417 Ko
Prix
184,94 €
EAN EPUB
9781119825913
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
432
Taille du fichier
8233 Ko
Prix
184,94 €

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