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Data analytics and artificial intelligence for predictive maintenance in smart manufacturing / edited by Amit Kumar Tyagi, Shrikant Tiwari and Gulshan Soni.

Colaborador(es): Tipo de material: TextoTextoIdioma: Inglés Series Advances in intelligent decision-making, systems engineering, and project managementDetalles de publicación: Boca Raton, FL: CRC Press, 2025Edición: First editionDescripción: 400 pages. ; 25 cmTipo de contenido:
  • text
Tipo de medio:
  • unmediated
ISBN:
  • 9781032769523
Tema(s): Formatos físicos adicionales: Online version:: Data analytics and artificial intelligence for predictive maintenance in smart manufacturing.Clasificación CDD:
  • 670.285 D232
Contenidos parciales:
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.
Resumen: "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"--
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Libro 3 días Libro 3 días Biblioteca Antiguo Cuscatlán Colección General 670.285 D232 2025 (Navegar estantería(Abre debajo)) 03 Disponible 72856

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.

"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"--

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