"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"--
| ISBN-13: | 9781032769523 |
| ISBN-10: | 1032769521 |
| Publisher: | Taylor & Francis Limited |
| Publication date: | 2024-09 |
| Edition description: | 1 |
| Pages: | 400 |
| Author: | Amit Kumar Tyagi, Gulshan Soni, Shrikant Tiwari |
| Language: | en |
| Binding: | Hardcover |
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