000 03742nam a22006015i 4500
001 978-981-15-3746-2
003 DE-He213
005 20220801215323.0
007 cr nn 008mamaa
008 200508s2020 si | s |||| 0|eng d
020 _a9789811537462
_9978-981-15-3746-2
024 7 _a10.1007/978-981-15-3746-2
_2doi
050 4 _aTH9701-9745
072 7 _aTNKS
_2bicssc
072 7 _aTEC032000
_2bisacsh
072 7 _aTNKS
_2thema
082 0 4 _a621
_223
245 1 0 _aReliability and Risk Assessment in Engineering
_h[electronic resource] :
_bProceedings of INCRS 2018 /
_cedited by Vijay Kumar Gupta, Prabhakar V. Varde, P. K. Kankar, Narendra Joshi.
250 _a1st ed. 2020.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2020.
300 _aXXVI, 532 p. 226 illus., 144 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Mechanical Engineering,
_x2195-4364
505 0 _aSection 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 _aThis 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 _aSecurity systems.
_931879
650 0 _aComputers.
_98172
650 0 _aMathematical models.
_94632
650 0 _aManufactures.
_931642
650 1 4 _aSecurity Science and Technology.
_931884
650 2 4 _aHardware Performance and Reliability.
_932357
650 2 4 _aMathematical Modeling and Industrial Mathematics.
_933097
650 2 4 _aMachines, Tools, Processes.
_931645
700 1 _aGupta, Vijay Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_943649
700 1 _aVarde, Prabhakar V.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_943650
700 1 _aKankar, P. K.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_943651
700 1 _aJoshi, Narendra.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_943652
710 2 _aSpringerLink (Online service)
_943653
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811537455
776 0 8 _iPrinted edition:
_z9789811537479
776 0 8 _iPrinted edition:
_z9789811537486
830 0 _aLecture Notes in Mechanical Engineering,
_x2195-4364
_943654
856 4 0 _uhttps://doi.org/10.1007/978-981-15-3746-2
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77360
_d77360