國立虎尾科技大學 |

Reliability and Risk Assessment in Engineering = Proceedings of INCRS 2018 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Reliability and Risk Assessment in Engineering/ edited by Vijay Kumar Gupta, Prabhakar V. Varde, P. K. Kankar, Narendra Joshi.
Reminder of title:	Proceedings of INCRS 2018 /
other author:	Gupta, Vijay Kumar.
Description:	XXVI, 532 p. 226 illus., 144 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Quality control. -
Online resource:	https://doi.org/10.1007/978-981-15-3746-2
ISBN:	9789811537462

Reliability and Risk Assessment in Engineering = Proceedings of INCRS 2018 /
Reliability and Risk Assessment in EngineeringProceedings of INCRS 2018 /[electronic resource] :edited by Vijay Kumar Gupta, Prabhakar V. Varde, P. K. Kankar, Narendra Joshi. - 1st ed. 2020. - XXVI, 532 p. 226 illus., 144 illus. in color.online resource. - 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

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

573723
Quality control.

LC Class. No.: TA169.7

Dewey Class. No.: 658.56

Reliability and Risk Assessment in Engineering = Proceedings of INCRS 2018 /
LDR:02800nam a22004215i 4500 001 1025750
003 DE-He213
005 20200706154141.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811537462 $9 978-981-15-3746-2
024 7 $a 10.1007/978-981-15-3746-2 $2 doi
035 $a 978-981-15-3746-2
050 4 $a TA169.7
050 4 $a T55-55.3
072 7 $a TGPR $2 bicssc
072 7 $a TEC032000 $2 bisacsh
072 7 $a TGPR $2 thema
082 0 4 $a 658.56 $2 23
245 1 0 $a Reliability and Risk Assessment in Engineering $h [electronic resource] : $b Proceedings of INCRS 2018 / $c edited by Vijay Kumar Gupta, Prabhakar V. Varde, P. K. Kankar, Narendra Joshi.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XXVI, 532 p. 226 illus., 144 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 Quality control. $3 573723
650 0 $a Reliability. $3 573603
650 0 $a Industrial safety. $3 568114
650 0 $a Computer software—Reusability. $3 1254984
650 0 $a Mathematical models. $3 527886
650 0 $a Manufactures. $3 680602
650 1 4 $a Quality Control, Reliability, Safety and Risk. $3 671184
650 2 4 $a Performance and Reliability. $3 669802
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 669172
650 2 4 $a Manufacturing, Machines, Tools, Processes. $3 1226012
700 1 $a Gupta, Vijay Kumar. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1322065
700 1 $a Varde, Prabhakar V. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1203728
700 1 $a Kankar, P. K. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1322066
700 1 $a Joshi, Narendra. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1322067
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811537455
776 0 8 $i Printed edition: $z 9789811537479
776 0 8 $i Printed edition: $z 9789811537486
830 0 $a Lecture Notes in Mechanical Engineering, $x 2195-4356 $3 1253850
856 4 0 $u https://doi.org/10.1007/978-981-15-3746-2
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)