LEADER 03865nam 2200577 a 450 001 9910139024903321 005 20200520144314.0 010 $a1-118-70189-5 010 $a1-118-70188-7 010 $a1-118-70194-1 035 $a(CKB)2550000001114506 035 $a(EBL)1360807 035 $a(DLC) 2013025347 035 $a(Au-PeEL)EBL1360807 035 $a(CaPaEBR)ebr10753410 035 $a(CaONFJC)MIL514358 035 $a(OCoLC)849801368 035 $a(MiAaPQ)EBC1360807 035 $a(EXLCZ)992550000001114506 100 $a20130617d2014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aApplied reliability engineering and risk analysis$b[electronic resource] $eprobabilistic models and statistical inference /$feditors, Ilia B. Frenkel ... [et al.] 205 $a1st ed. 210 $aChichester, West Sussex $cJohn Wiley & Sons Inc.$d2014 215 $a1 online resource (451 p.) 225 1 $aWiley series in quality & reliability engineering 300 $aDescription based upon print version of record. 311 $a1-118-53942-7 311 $a1-299-83107-9 320 $aIncludes bibliographical references and index. 327 $apt. I. Degradation analysis, multi-state and continuous-state system reliability -- pt. II. Networks and large-scale systems -- pt. III. Maintenance models -- pt. IV. Statistical inference in reliability -- pt. V. Systemability, physics-of-failure and reliability demonstration. 330 $a"This book presents the latest developments in the field of reliability science focusing on applied reliability, probabilistic models and risk analysis. It provides readers with the most up-to-date developments in this field and consolidates research activities in several areas of applied reliability engineering. The publication is timed to commemorate Boris Gnedenko's centennial by bringing together leading researchers, scientists, and practitioners in the field of Prof. Gnednko's expertise. The Introduction, written by Prof. Igor Ushakov, a personal friend and a colleague of Boris Gnedenko, explains the significant impact and contribution Gnedenko's work made on the reliability theory and the modern reliability practice. The book covers conventional and contemporary (recently emerged) topics in reliability science, which have seen extended research activities in the recent years. These topics include: degradation analysis and multi-state system reliability; networks and large scale systems; maintenance models; statistical inference in reliability, and; physics of failures and reliability demonstration. All of these topics present a great interest to researchers and practitioners, having been extensively researched in the past years and covered at a large number of international conferences and in a multitude of journal articles. This book pulls together this information with a coherent flow of chapters, and is written by the lead scientists, researchers and practitioners in their respective fields. Logically divided into five sections, each contains several chapters covering theoretical and practical issues, while case studies support the topics under discussion"--$cProvided by publisher. 410 0$aWiley series in quality and reliability engineering. 606 $aReliability (Engineering) 606 $aRisk assessment$xMathematical models 615 0$aReliability (Engineering) 615 0$aRisk assessment$xMathematical models. 676 $a620/.00452 686 $aTEC032000$2bisacsh 701 $aFrenkel$b Ilia$cPh.D.$0939349 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139024903321 996 $aApplied reliability engineering and risk analysis$92117374 997 $aUNINA