TY  - BOOK
AU  - Tyagi,Amit Kumar
AU  - Tiwari,Shrikant
AU  - Soni,Gulshan
TI  - Data analytics and artificial intelligence for predictive maintenance in smart manufacturing
T2  - Advances in intelligent decision-making, systems engineering, and project management
SN  - 9781032769523
U1  - 670.285 
PY  - 2025///
CY  - Boca Raton, FL
PB  - CRC Press
KW  - MANUFACTURAS
KW  - PROCESO DE DATOS
KW  - LEMB
KW  - INTELIGENCIA ARTIFICIAL
KW  - APLICACIONES INDUSTRIALES
KW  - EQUIPOS
KW  - BIG DATA
N1  - Includes bibliographical references and index; 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
N2  - "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"--
ER  -