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001 978-3-319-23597-4
003 DE-He213
005 20220801213758.0
007 cr nn 008mamaa
008 151214s2016 sz | s |||| 0|eng d
020 _a9783319235974
_9978-3-319-23597-4
024 7 _a10.1007/978-3-319-23597-4
_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 _aCurrent Trends in Reliability, Availability, Maintainability and Safety
_h[electronic resource] :
_bAn Industry Perspective /
_cedited by Uday Kumar, Alireza Ahmadi, Ajit Kumar Verma, Prabhakar Varde.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXV, 738 p. 323 illus., 85 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 _aTrack geometry degradation and maintenance modelling: A review -- Maintenance optimization using Multi-Attribute Utility Theory -- Context-based maintenance and repair shop suggestion for a moving vehicle -- Optimal sensor placement for efficient fault diagnosis in condition monitoring process; a case study on steam turbine monitoring -- Estimation of the reliability of rolling element bearings using a synthetic failure rate -- Malfunction in railway system and its effect on arrival delay -- On-Condition parts versus Life limited parts: A trade off in aircraft engines -- Safety and availability evaluation of railway signalling systems -- Applying multi-factorial pareto analyses in prioritizing maintenance effectiveness and efficiency improvements -- Predictive modelling for estimation of railway track degradation.
520 _aContaining selected papers from the ICRESH-ARMS 2015 conference in Lulea, Sweden, collected by editors with years of experiences in Reliability and maintenance modeling, risk assessment, and asset management, this work maximizes reader insights into the current trends in Reliability, Availability, Maintainability and Safety (RAMS) and Risk Management. Featuring a comprehensive analysis of the significance of the role of RAMS and Risk Management in the decision making process during the various phases of design, operation, maintenance, asset management and productivity in Industrial domains, these proceedings discuss key issues and challenges in the operation, maintenance and risk management of complex engineering systems and will serve as a valuable resource for those in the field.
650 0 _aSecurity systems.
_931879
650 0 _aIndustrial organization.
_934280
650 0 _aIndustrial Management.
_95847
650 1 4 _aSecurity Science and Technology.
_931884
650 2 4 _aIndustrial Organization.
_934281
650 2 4 _aIndustrial Management.
_95847
700 1 _aKumar, Uday.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_934282
700 1 _aAhmadi, Alireza.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_934283
700 1 _aVerma, Ajit Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_934284
700 1 _aVarde, Prabhakar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_934285
710 2 _aSpringerLink (Online service)
_934286
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319235967
776 0 8 _iPrinted edition:
_z9783319235981
776 0 8 _iPrinted edition:
_z9783319795065
830 0 _aLecture Notes in Mechanical Engineering,
_x2195-4364
_934287
856 4 0 _uhttps://doi.org/10.1007/978-3-319-23597-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75585
_d75585