FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2620871799> ?p ?o ?g. }

• W2620871799 endingPage "350" @default.
• W2620871799 startingPage "338" @default.
• W2620871799 abstract "In this paper, we propose a jump diffusion process with non-homogeneous compound Poisson process to model the degradation process with randomly occurring jumps, which combines two stochastic processes, i.e., traditional diffusion process to describe the continuous degradation and non-homogeneous compound Poisson process to depict random jumps with a time-varying intensity. The approximated analytical lifetime under the concept of the first passage time (FPT) is obtained by a time–space transformation technique. To identify the model parameters, we first present a general method based on Maximum Likelihood Estimation (MLE) for the proposed model, and then specifically provide a two-step approach for linear jump diffusion process via combining MLE and Expectation Conditional Maximization (ECM) algorithm. Finally, a numerical example and a study on the furnace wall are provided to illustrate the effectiveness of the proposed method." @default.
• W2620871799 created "2017-06-09" @default.
• W2620871799 creator A5001517167 @default.
• W2620871799 creator A5003103353 @default.
• W2620871799 creator A5038690943 @default.
• W2620871799 creator A5053022011 @default.
• W2620871799 creator A5057912398 @default.
• W2620871799 creator A5067994505 @default.
• W2620871799 date "2017-11-01" @default.
• W2620871799 modified "2023-10-16" @default.
• W2620871799 title "Lifetime prognostics for deteriorating systems with time-varying random jumps" @default.
• W2620871799 cites W1865204623 @default.
• W2620871799 cites W1901333968 @default.
• W2620871799 cites W1944637642 @default.
• W2620871799 cites W1983687959 @default.
• W2620871799 cites W1984729752 @default.
• W2620871799 cites W1995723008 @default.
• W2620871799 cites W1997792274 @default.
• W2620871799 cites W2001129496 @default.
• W2620871799 cites W2004839758 @default.
• W2620871799 cites W2032975295 @default.
• W2620871799 cites W2033756468 @default.
• W2620871799 cites W2042311265 @default.
• W2620871799 cites W2045117443 @default.
• W2620871799 cites W2045186954 @default.
• W2620871799 cites W2055873761 @default.
• W2620871799 cites W2067266460 @default.
• W2620871799 cites W2072999804 @default.
• W2620871799 cites W2107815566 @default.
• W2620871799 cites W2108898839 @default.
• W2620871799 cites W2110269823 @default.
• W2620871799 cites W2110554687 @default.
• W2620871799 cites W2112935810 @default.
• W2620871799 cites W2114087231 @default.
• W2620871799 cites W2126515788 @default.
• W2620871799 cites W2127264253 @default.
• W2620871799 cites W2131820609 @default.
• W2620871799 cites W2137951154 @default.
• W2620871799 cites W2151065060 @default.
• W2620871799 cites W2151176860 @default.
• W2620871799 cites W2178153083 @default.
• W2620871799 cites W2396236028 @default.
• W2620871799 cites W2476801890 @default.
• W2620871799 cites W3122167020 @default.
• W2620871799 doi "https://doi.org/10.1016/j.ress.2017.05.047" @default.
• W2620871799 hasPublicationYear "2017" @default.
• W2620871799 type Work @default.
• W2620871799 sameAs 2620871799 @default.
• W2620871799 citedByCount "30" @default.
• W2620871799 countsByYear W26208717992017 @default.
• W2620871799 countsByYear W26208717992018 @default.
• W2620871799 countsByYear W26208717992019 @default.
• W2620871799 countsByYear W26208717992020 @default.
• W2620871799 countsByYear W26208717992021 @default.
• W2620871799 countsByYear W26208717992022 @default.
• W2620871799 countsByYear W26208717992023 @default.
• W2620871799 crossrefType "journal-article" @default.
• W2620871799 hasAuthorship W2620871799A5001517167 @default.
• W2620871799 hasAuthorship W2620871799A5003103353 @default.
• W2620871799 hasAuthorship W2620871799A5038690943 @default.
• W2620871799 hasAuthorship W2620871799A5053022011 @default.
• W2620871799 hasAuthorship W2620871799A5057912398 @default.
• W2620871799 hasAuthorship W2620871799A5067994505 @default.
• W2620871799 hasConcept C100906024 @default.
• W2620871799 hasConcept C104317684 @default.
• W2620871799 hasConcept C105795698 @default.
• W2620871799 hasConcept C111919701 @default.
• W2620871799 hasConcept C121332964 @default.
• W2620871799 hasConcept C121864883 @default.
• W2620871799 hasConcept C124101348 @default.
• W2620871799 hasConcept C126255220 @default.
• W2620871799 hasConcept C129364497 @default.
• W2620871799 hasConcept C133338972 @default.
• W2620871799 hasConcept C155051063 @default.
• W2620871799 hasConcept C166144826 @default.
• W2620871799 hasConcept C185592680 @default.
• W2620871799 hasConcept C186659197 @default.
• W2620871799 hasConcept C204241405 @default.
• W2620871799 hasConcept C2776825372 @default.
• W2620871799 hasConcept C2779664328 @default.
• W2620871799 hasConcept C2780695682 @default.
• W2620871799 hasConcept C28826006 @default.
• W2620871799 hasConcept C3017618536 @default.
• W2620871799 hasConcept C33923547 @default.
• W2620871799 hasConcept C41008148 @default.
• W2620871799 hasConcept C55493867 @default.
• W2620871799 hasConcept C56739046 @default.
• W2620871799 hasConcept C62520636 @default.
• W2620871799 hasConcept C68710425 @default.
• W2620871799 hasConcept C69357855 @default.
• W2620871799 hasConcept C8272713 @default.
• W2620871799 hasConcept C97355855 @default.
• W2620871799 hasConcept C98045186 @default.
• W2620871799 hasConceptScore W2620871799C100906024 @default.
• W2620871799 hasConceptScore W2620871799C104317684 @default.
• W2620871799 hasConceptScore W2620871799C105795698 @default.
• W2620871799 hasConceptScore W2620871799C111919701 @default.
• W2620871799 hasConceptScore W2620871799C121332964 @default.

• next