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Predictive analytics for mechanical engineering = a beginners guide /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Predictive analytics for mechanical engineering/ by Parikshit N. Mahalle, Pravin P. Hujare, Gitanjali Rahul Shinde.
Reminder of title:	a beginners guide /
Author:	Mahalle, Parikshit N.
other author:	Hujare, Pravin P.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xii, 97 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Mechanical engineering. -
Online resource:	https://doi.org/10.1007/978-981-99-4850-5
ISBN:	9789819948505

Predictive analytics for mechanical engineering = a beginners guide /
Mahalle, Parikshit N.

Predictive analytics for mechanical engineeringa beginners guide /[electronic resource] :by Parikshit N. Mahalle, Pravin P. Hujare, Gitanjali Rahul Shinde. - Singapore :Springer Nature Singapore :2023. - xii, 97 p. :ill., digital ;24 cm. - SpringerBriefs in computational intelligence,2625-3712. - SpringerBriefs in computational intelligence..

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.

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: 9789819948505

Standard No.: 10.1007/978-981-99-4850-5doiSubjects--Topical Terms:

557493
Mechanical engineering.

LC Class. No.: TJ145

Dewey Class. No.: 621

Predictive analytics for mechanical engineering = a beginners guide /
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520 $a 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.
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