國立高雄大學圖資館 |

Language: English

Back

Reliability and risk assessment in e...

(1998 :)

Reliability and risk assessment in engineeringproceedings of INCRS 2018 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reliability and risk assessment in engineeringedited by Vijay Kumar Gupta ... [et al.].
Reminder of title:	proceedings of INCRS 2018 /
remainder title:	INCRS 2018
other author:	Gupta, Vijay Kumar.
corporate name:
Published:	Singapore :Springer Singapore :2020.
Description:	xxvi, 532 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Reliability (Engineering)
Online resource:	https://doi.org/10.1007/978-981-15-3746-2
ISBN:	9789811537462$q(electronic bk.)

Reliability and risk assessment in engineeringproceedings of INCRS 2018 /
Reliability and risk assessment in engineeringproceedings of INCRS 2018 /[electronic resource] :INCRS 2018edited by Vijay Kumar Gupta ... [et al.]. - Singapore :Springer Singapore :2020. - xxvi, 532 p. :ill., digital ;24 cm. - Lecture notes in mechanical engineering,2195-4356. - Lecture notes in mechanical engineering..

Section 1: Big Data Analytics and Software Engineering -- Section 2: Data Analytics for Reliability: Applications -- Section 3: Condition Monitoring Techniques and Applications -- Section 4: Health Monitoring and Management using Multi-Sensors -- Section 5: Diagnosis and Prognosis of Mechanical Systems -- Section 6: Design for reliability -- Section 7: Optimization and Machine Learning Techniques for Industrial Applications -- Section 8: Performance/ Failure Analysis of Materials in Service -- Section 9: Reliability Issues in Electrical Distribution Systems.

This volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance.

ISBN: 9789811537462$q(electronic bk.)

Standard No.: 10.1007/978-981-15-3746-2doiSubjects--Topical Terms:

182677
Reliability (Engineering)

LC Class. No.: TA169

Dewey Class. No.: 620.00452

Reliability and risk assessment in engineeringproceedings of INCRS 2018 /
LDR:02333nmm a2200349 a 4500 001 579665
003 DE-He213
005 20200928155030.0
006 m
007 cr
008 201229s2020
020 $a 9789811537462$q(electronic bk.)
020 $a 9789811537455$q(paper)
024 7 $a 10.1007/978-981-15-3746-2 $2 doi
035 $a 978-981-15-3746-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TA169
072 7 $a TGPR $2 bicssc
072 7 $a TEC032000 $2 bisacsh
072 7 $a TGPR $2 thema
082 0 4 $a 620.00452 $2 23
090 $a TA169 $b .I61 2018
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Reliability and risk assessment in engineering $h [electronic resource] : $b proceedings of INCRS 2018 / $c edited by Vijay Kumar Gupta ... [et al.].
246 3 $a INCRS 2018
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xxvi, 532 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in mechanical engineering, $x 2195-4356
505 0 $a Section 1: Big Data Analytics and Software Engineering -- Section 2: Data Analytics for Reliability: Applications -- Section 3: Condition Monitoring Techniques and Applications -- Section 4: Health Monitoring and Management using Multi-Sensors -- Section 5: Diagnosis and Prognosis of Mechanical Systems -- Section 6: Design for reliability -- Section 7: Optimization and Machine Learning Techniques for Industrial Applications -- Section 8: Performance/ Failure Analysis of Materials in Service -- Section 9: Reliability Issues in Electrical Distribution Systems.
520 $a This volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance.
650 0 $a Reliability (Engineering) $3 182677
650 1 4 $a Quality Control, Reliability, Safety and Risk. $3 274011
650 2 4 $a Performance and Reliability. $3 277564
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 274070
650 2 4 $a Manufacturing, Machines, Tools, Processes. $3 833130
700 1 $a Gupta, Vijay Kumar. $3 869094
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in mechanical engineering. $3 592095
856 4 0 $u https://doi.org/10.1007/978-981-15-3746-2
950 $a Engineering (Springer-11647)