Data analytics and artificial intelligence for predictive maintenance in smart manufacturing / 
edited by Amit Kumar Tyagi, Shrikant Tiwari and Gulshan Soni. 
 - First edition. 
 - Boca Raton, FL:  CRC Press,  2025 
 - 400 pages. ;  25 cm. 
 - Advances in intelligent decision-making, systems engineering, and project management .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Introduction to machine learning fundamentals / Ritesh Kumar Dewangan, Vinita Dewangan, Pallavi P. Khobragade  -- AI applications in production / C.M. Nalayini, V. Sathya, K. Jayashree, Shruthi Arunkumar and M. Dinesh Babu -- Data Analytics and Artificial Intelligence for predictive maintenance in manufacturing / Dr. M. Sivakumar, Dr. M. Maranco, Dr. N. Krishnaraj. 
<br/><br/> "Today in this smart era, Data Analytics and Artificial Intelligence (AI) play an important role in Predictive Maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book will contain up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. Serving as a reference guide this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields"-- 
<br/><br/><label>ISBN: </label>9781032769523 
<br/><br/><label>LCCN: </label>2024020481 
<br/><br/><label>Subjects--Topical Terms: </label><br/>MANUFACTURAS--PROCESO DE DATOS<br/>INTELIGENCIA ARTIFICIAL--APLICACIONES INDUSTRIALES<br/>MANUFACTURAS--EQUIPOS
<br/><br/><label>Subjects--Index Terms: </label>BIG DATA 
<br/><br/><label>Dewey Class. No.: </label>670.285  / D232