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000930099 019__ $$a1145423394
000930099 020__ $$a9783030415648
000930099 020__ $$a3030415643
000930099 020__ $$z3030415635
000930099 020__ $$z9783030415631
000930099 035__ $$aSP(OCoLC)on1145591712
000930099 035__ $$aSP(OCoLC)1145591712$$z(OCoLC)1145423394
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000930099 049__ $$aISEA
000930099 050_4 $$aTJ153
000930099 08204 $$a621.8/1$$223
000930099 1001_ $$aGrynchenko, Oleksandr.
000930099 24510 $$aMechanical reliability :$$bprediction and management under extreme load conditions /$$cOleksandr Grynchenko, Oleksiy Alfyorov.
000930099 260__ $$aCham :$$bSpringer,$$c©2020.
000930099 300__ $$a1 online resource (132 pages)
000930099 336__ $$atext$$btxt$$2rdacontent
000930099 337__ $$acomputer$$bc$$2rdamedia
000930099 338__ $$aonline resource$$bcr$$2rdacarrier
000930099 504__ $$aIncludes bibliographical references.
000930099 5050_ $$aIntroduction -- Reliability of elements with random bearing capacity -- Management of elements reliability -- Prediction of system reliability -- Prediction and management of reliability under conditions of using safety devices -- Appendixes.
000930099 506__ $$aAccess limited to authorized users.
000930099 520__ $$aThe volume describes the main theoretical propositions of the methodology to predict mechanical reliability under conditions of repeated exposure to random extreme loads. The mechanical load process is considered to be a form of a discrete sequence of loads occurring at times that form a random flow. The authors present solved problems of reliability prediction of elements having deterministic or random bearing capacity. A method for the probabilistic justification of safety factors is also developed in the book, providing a predetermined level of reliability of elements and systems for sudden failures during design. It considers the methods of prediction and managing reliability under conditions of using safety devices. The main theoretical results are presented in a form available for practical engineering applications. The book can be used by researchers and as a manual by teachers and graduate students of higher technical educational institutions. - Reviews the fundamentals of one of the many directions of science of reliability; - Allows prediction of an approximate value of the gamma-percentile operating time to a sudden mechanical failure corresponding to a known value of safety factors; - Facilitates readers prediction of a given reliability function of the projected object.
000930099 588__ $$aDescription based on print version record.
000930099 650_0 $$aMachinery$$xReliability.
000930099 650_0 $$aLoads (Mechanics)
000930099 7001_ $$aAlfyorov, Oleksiy.
000930099 77608 $$iPrint version:$$aGrynchenko, Oleksandr.$$tMechanical Reliability : Prediction and Management under Extreme Load Conditions.$$dCham : Springer International Publishing AG, ©2020$$z9783030415631
000930099 852__ $$bebk
000930099 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-41564-8$$zOnline Access$$91397441.1
000930099 909CO $$ooai:library.usi.edu:930099$$pGLOBAL_SET
000930099 980__ $$aEBOOK
000930099 980__ $$aBIB
000930099 982__ $$aEbook
000930099 983__ $$aOnline
000930099 994__ $$a92$$bISE