000 03616nam a22003855i 4500
001 291326
003 MX-SnUAN
005 20170705134223.0
007 cr nn 008mamaa
008 150903s2010 xxk| o |||| 0|eng d
020 _a9781849963206
_99781849963206
024 7 _a10.1007/9781849963206
_2doi
035 _avtls000344693
039 9 _a201509030404
_bVLOAD
_c201405050311
_dVLOAD
_y201402061303
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA169.7
100 1 _aLisnianski, Anatoly.
_eautor
_9316864
245 1 0 _aMulti-state System Reliability Analysis and Optimization for Engineers and Industrial Managers /
_cby Anatoly Lisnianski, Ilia Frenkel, Yi Ding.
264 1 _aLondon :
_bSpringer London,
_c2010.
300 _axvI, 393 páginas 114 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aMulti-state Systems in Nature and in Engineering -- Modern Stochastic Process Methods for Multi-state System Reliability Assessment -- Statistical Analysis of Reliability Data for Multi-state Systems -- Universal Generating Function Method -- Combined Universal Generating Function and Stochastic Process Method -- Reliability-associated Cost Assessment and Management Decisions for Multi-state Systems -- Aging Multi-state Systems -- Fuzzy Multi-state System: General Definition and Reliability Assessment.
520 _aMulti-state System Reliability Analysis and Optimization for Engineers and Industrial Managers presents a comprehensive, up-to-date description of multi-state system (MSS) reliability as a natural extension of classical binary-state reliability. It presents all essential theoretical achievements in the field, but is also practically oriented. New theoretical issues are described, including: combined Markov and semi-Markov processes methods, and universal generating function techniques; statistical data processing for MSSs; reliability analysis of aging MSSs; methods for cost-reliability and cost-availability analysis of MSSs; and main definitions and concepts of fuzzy MSS. Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers also discusses life cycle cost analysis and practical optimal decision making for real world MSSs. Numerous examples are included in each section in order to illustrate mathematical tools. Besides these examples, real world MSSs (such as power generating and transmission systems, air-conditioning systems, production systems, etc.) are considered as case studies. Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers also describes basic concepts of MSS, MSS reliability measures and tools for MSS reliability assessment and optimization. It is a self-contained study resource and does not require prior knowledge from its readers, making the book attractive for researchers as well as for practical engineers and industrial managers.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aFrenkel, Ilia.
_eautor
_9316865
700 1 _aDing, Yi.
_eautor
_9322554
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781849963190
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84996-320-6
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c291326
_d291326