Erhältlich:
Nicht auf Lager
Buch (Softcover): Fachbuch
Industrial Machinery Health Management with Generative Artificial Intelligence
A Practical Guide to Fault Diagnosis, Prognostics, and Predictive Maintenance
Verlag:
Eliva Press Unsere-Artikel-Nr.: P35490709
EAN: 9789999346375
Erhältlich:
Nicht auf Lager
Zustellung: Mi, 21.10.2026
Versand: Kostenlos
-10.3 %
CHF 97.–
CHF 87.–
Beschreibung
In today's industrial landscape, machines generate more data than ever before but data alone does not prevent failure. What matters is how that data is interpreted, validated, and translated into effective maintenance decisions. Industrial Machinery Health Management with Generative Artificial Intelligence presents a practical, engineer-focused approach to modern Prognostics and Health Management (PHM). This book bridges the gap between traditional condition monitoring and emerging AI capabilities, showing how field evidence, engineering reasoning, and intelligent tools can work together to improve reliability and reduce uncertainty. Through structured workflows, real-world case studies, and actionable templates, readers learn how to: Interpret sensor data in real operating contexts Validate anomalies using physical inspection and diagnostic tools Apply Generative AI responsibly for analysis, documentation, and decision support Convert insights into clear maintenance actions and measurable outcomes Rather than treating AI as a replacement for engineering judgment, this book emphasizes disciplined, evidence-based decision-making where human expertise remains central and AI acts as a powerful assistant. Designed for maintenance engineers, reliability professionals, and industrial practitioners, this guide delivers a repeatable framework for turning machine data into confident, auditable, and effective action.
Spezifikationen
Sprache
- Englisch
Autor
- Saud Altaf
Erscheinungsjahr
- 1905
Format
- Buch (Softcover)
Anzahl Seiten
- 134