東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Predictive analytics for mechanical ...

Mahalle, Parikshit N.

Linked to FindBook

Google Book

Amazon

博客來

Predictive analytics for mechanical engineering = a beginners guide /

Record Type:	Electronic resources : 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.
[NT 15003449]:	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.
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:

649730
Mechanical engineering.

LC Class. No.: TJ145

Dewey Class. No.: 621

Predictive analytics for mechanical engineering = a beginners guide /
LDR:02109nmm a2200337 a 4500 001 2333968
003 DE-He213
005 20230816080156.0
006 m d
007 cr nn 008maaau
008 240402s2023 si s 0 eng d
020 $a 9789819948505 $q (electronic bk.)
020 $a 9789819948499 $q (paper)
024 7 $a 10.1007/978-981-99-4850-5 $2 doi
035 $a 978-981-99-4850-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ145
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 621 $2 23
090 $a TJ145 $b .M214 2023
100 1 $a Mahalle, Parikshit N. $3 3379506
245 1 0 $a Predictive analytics for mechanical engineering $h [electronic resource] : $b a beginners guide / $c by Parikshit N. Mahalle, Pravin P. Hujare, Gitanjali Rahul Shinde.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xii, 97 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computational intelligence, $x 2625-3712
505 0 $a 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.
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.
650 0 $a Mechanical engineering. $3 649730
650 0 $a Maintenance. $3 900643
650 0 $a Predictive analytics. $3 3487786
650 0 $a Industry 4.0. $3 3491401
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Data Analysis and Big Data. $3 3538537
650 2 4 $a Mechanical Engineering. $3 891038
650 2 4 $a Internet of Things. $3 3538511
700 1 $a Hujare, Pravin P. $3 3665155
700 1 $a Shinde, Gitanjali Rahul. $3 3486181
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computational intelligence. $3 3381676
856 4 0 $u https://doi.org/10.1007/978-981-99-4850-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)