
AI in Maintenance & Reliability Predictive and Prescriptive Maintenance with Artificial Intelligence
E-bookEngels
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In today’s competitive industrial landscape, downtime impacts not only costs, but also reputation, customer trust, and operational efficiency. This practical guide by Dr. Mohammed Hamed Ahmed Soliman explores how Artificial Intelligence (AI) transforms maintenance from reactive repairs to predictive and prescriptive strategies, helping organizations reduce failures, extend equipment life, maximize asset performance, and prepare for Industry 4.0.Inside, you’ll learn:The evolution from reactive and preventive maintenance to predictive and prescriptive strategiesHow to collect, prepare, and leverage industrial data for AI applicationsCore AI and machine learning techniques for failure predictionPrescriptive maintenance models for optimal interventionsReal-world case studies from manufacturing, energy, and transportationHow to integrate AI into existing systems and measure ROIPreparing organizations for Industry 4.0 and beyondIdeal for maintenance managers, reliability engineers, data scientists, and industry leaders seeking measurable operational improvement.Transform your maintenance strategy. Predict. Prescribe. Perform.
In het kort
ISBN-13
9789403900414
Uitgever
Verschenen
2 juni 2026
Imprint
Druk
1
Bibliografisch
ISBN-139789403900414
Editie1
Druk1
TaalEngels eng
GeïllustreerdJa
Uitgave
UitgeverMijnbestseller B.V.
ImprintPersonal Lean Publications
CB-relatie-id7543708
Verschenen2 juni 2026
StatusOnbekend 00
BeschikbaarheidContact leverancier 99
Adviesprijs (incl. btw)€ 7,99
Vorm & inhoud
ProductvormE-book ED
VormdetailE101 EPUB
SamenstellingLos product
EPUB-versie2
Beveiliging e-bookDigitaal watermerk 02
Classificatie
NUR (hoofd)Bedrijfsinformatietechnologie 953
NUR (alle)953 Bedrijfsinformatietechnologie
Medewerkers
Auteur A01Mohammed Hamed Ahmed Soliman
Herkomst
Werk-id (NSTC)501675275
MeldingBevestigd bij publicatie 03
Bijgewerkt6 augustus 2026
NSTC 501675275 · CB-relatie 7543708 · Bijgewerkt 6 augustus 2026