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Predictive Analytics for Mechanical Engineering: A Beginners Guide / by Parikshit N. Mahalle, Pravin P. Hujare, Gitanjali Rahul Shinde.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2023 Available online

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Format:
Book
Author/Creator:
Mahalle, Parikshit N., author.
Hujare, Pravin P., author.
Shinde, Gitanjali Rahul, 1983- author.
Series:
SpringerBriefs in Computational Intelligence, 2625-3712
Language:
English
Subjects (All):
Computational intelligence.
Quantitative research.
Mechanical engineering.
Internet of things.
Computational Intelligence.
Data Analysis and Big Data.
Mechanical Engineering.
Internet of Things.
Local Subjects:
Computational Intelligence.
Data Analysis and Big Data.
Mechanical Engineering.
Internet of Things.
Physical Description:
1 online resource (107 pages) : illustrations.
Edition:
1st ed. 2023.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Summary:
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.
Contents:
1. Introduction to Predictive Analytics
2. Data Acquisition and Preparation
3. Intelligent Approaches
4. Predictive Maintenance
5. Predictive Maintenance for Mechanical Design System
6. Predictive Maintenance for Manufacturing
7. Conclusions.
Notes:
Includes bibliographical references.
Other Format:
Print version: Mahalle, Parikshit N. Predictive Analytics for Mechanical Engineering: a Beginners Guide
ISBN:
9789819948505
9819948509

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