This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for development of any AI application; in view of this, the types of the data and data preparation processes, and tools are also presented in this book.
ISBN: | 9789819948499 |
Publication date: | 17th August 2023 |
Author: | Parikshit N Mahalle, Pravin P Hujare, Gitanjali Rahul Shinde |
Publisher: | Springer an imprint of Springer Nature Singapore |
Format: | Paperback |
Pagination: | 116 pages |
Series: | SpringerBriefs in Applied Sciences and Technology |
Genres: |
Artificial intelligence Mechanical engineering Databases Computer networking and communications |