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Predictive analytics for mechanical engineering = a beginners guide /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Predictive analytics for mechanical engineering/ by Parikshit N. Mahalle, Pravin P. Hujare, Gitanjali Rahul Shinde.
其他題名:	a beginners guide /
作者:	Mahalle, Parikshit N.
其他作者:	Shinde, Gitanjali Rahul.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xii, 97 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Internet of Things. -
電子資源:	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:

1048478
Internet of Things.

LC Class. No.: TJ145

Dewey Class. No.: 621

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