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010   $a3-030-41564-3
024 7 $a10.1007/978-3-030-41564-8
035   $a(CKB)4100000010661176
035   $a(DE-He213)978-3-030-41564-8
035   $a(MiAaPQ)EBC6135174
035   $a(PPN)243229283
035   $a(EXLCZ)994100000010661176
100   $a20200316d2020      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMechanical Reliability$b[electronic resource] $ePrediction and Management Under Extreme Load Conditions /$fby Oleksandr Grynchenko, Oleksiy Alfyorov
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (X, 125 p. 18 illus., 1 illus. in color.) 
311   $a3-030-41563-5 
327   $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.
330   $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.
606   $aQuality control
606   $aReliability
606   $aIndustrial safety
606   $aMechanics
606   $aMechanics, Applied
606   $aMachinery
606   $aManufactures
606   $aStatistics 
606   $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032
606   $aTheoretical and Applied Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15001
606   $aMachinery and Machine Elements$3https://scigraph.springernature.com/ontologies/product-market-codes/T17039
606   $aManufacturing, Machines, Tools, Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/T22050
606   $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020
615  0$aQuality control.
615  0$aReliability.
615  0$aIndustrial safety.
615  0$aMechanics.
615  0$aMechanics, Applied.
615  0$aMachinery.
615  0$aManufactures.
615  0$aStatistics .
615 14$aQuality Control, Reliability, Safety and Risk.
615 24$aTheoretical and Applied Mechanics.
615 24$aMachinery and Machine Elements.
615 24$aManufacturing, Machines, Tools, Processes.
615 24$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
676   $a621.81
700   $aGrynchenko$b Oleksandr$4aut$4http://id.loc.gov/vocabulary/relators/aut$0948191
702   $aAlfyorov$b Oleksiy$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910383842403321
996   $aMechanical Reliability$92143204
997   $aUNINA