FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2258843669> ?p ?o ?g. }

• W2258843669 endingPage "63" @default.
• W2258843669 startingPage "49" @default.
• W2258843669 abstract "Most manufacturers of solar modules guarantee the minimum performance of their modules for 20 to 25 years, and 30-year warranties have been introduced. The warranty typically guarantees that the modules will perform to at least 90% capacity in the first 10 years and to at least 80% in the following 10 - 15 years. Early degradation resulting from design flaws, materials or processing issues is often apparent from startup to the first few years in service. Importantly, many module failures and performance losses are the result of gradual accumulated damage resulting from long-term outdoor exposure in harsh environments, referred. Many of these processes occur on relatively long time scales and the various degradation processes may be chemical, electrical, thermal or mechanical in nature. These are either initiated or accelerated by the combined stresses of the service environment, in particular solar radiation, temperature and moisture, and other stresses such as salt air, wind and snow. Accelerated Life Testing (ALT) test methodology is normally predicated on first being able to reproduce a specific degradation or failure mode without altering it (correlation); and, second, to produce that result in less than real-time acceleration. Degradation and failure may result when an applied stress exceeds material or product strength. This may be a one-time catastrophic event, the result of cyclic fatigue, or a gradual decline in requisite properties due to ageing mechanisms. Engineers in the manufacturing industries have used accelerated test (AT) experiments for many decades. The purpose of AT experiments is to acquire reliability information quickly. Test units of a material, component, subsystem or entire systems are subjected to higher-than-usual levels of one or more accelerating variables such as temperature or stress. Then the AT results are used to predict life of the units at use conditions. The extrapolation is typically justified (correctly or incorrectly) on the basis of physically motivated models or a combination of empirical model fitting with a sufficient amount of previous experience in testing similar units. The need to extrapolate in both time and the accelerating variables generally necessitates the use of fully parametric models. Statisticians have made important contributions in the development of appropriate stochastic models for AT data [typically a distribution for the response and regression relationships between the parameters of this distribution and the accelerating variable(s)], statistical methods for AT planning (choice of accelerating variable levels and allocation of available test units to those levels) and methods of estimation of suitable reliability metrics. This paper provides a review of many of the AT models that have been used successfully in this area." @default.
• W2258843669 created "2016-06-24" @default.
• W2258843669 creator A5000794754 @default.
• W2258843669 creator A5001665589 @default.
• W2258843669 creator A5017903934 @default.
• W2258843669 creator A5033577830 @default.
• W2258843669 creator A5038997948 @default.
• W2258843669 creator A5042744379 @default.
• W2258843669 creator A5048018377 @default.
• W2258843669 creator A5058308676 @default.
• W2258843669 creator A5066362614 @default.
• W2258843669 date "2016-01-01" @default.
• W2258843669 modified "2023-10-17" @default.
• W2258843669 title "Model Associated with the Study of the Degradation Based on the Accelerated Test: A Literature Review" @default.
• W2258843669 cites W1900060532 @default.
• W2258843669 cites W1983713869 @default.
• W2258843669 cites W1994113540 @default.
• W2258843669 cites W2017169905 @default.
• W2258843669 cites W2028922410 @default.
• W2258843669 cites W2063823881 @default.
• W2258843669 cites W2071268553 @default.
• W2258843669 cites W2075542546 @default.
• W2258843669 cites W2091871133 @default.
• W2258843669 cites W2095372829 @default.
• W2258843669 cites W2104689744 @default.
• W2258843669 cites W2107524451 @default.
• W2258843669 cites W2108968817 @default.
• W2258843669 cites W2120517712 @default.
• W2258843669 cites W2137490614 @default.
• W2258843669 cites W2150099345 @default.
• W2258843669 cites W2154458665 @default.
• W2258843669 cites W2161483162 @default.
• W2258843669 cites W2166861496 @default.
• W2258843669 cites W3098336475 @default.
• W2258843669 cites W4233921518 @default.
• W2258843669 cites W4237330873 @default.
• W2258843669 cites W4245681849 @default.
• W2258843669 cites W4298310443 @default.
• W2258843669 cites W4366111217 @default.
• W2258843669 doi "https://doi.org/10.4236/ojapps.2016.61006" @default.
• W2258843669 hasPublicationYear "2016" @default.
• W2258843669 type Work @default.
• W2258843669 sameAs 2258843669 @default.
• W2258843669 citedByCount "11" @default.
• W2258843669 countsByYear W22588436692018 @default.
• W2258843669 countsByYear W22588436692019 @default.
• W2258843669 countsByYear W22588436692020 @default.
• W2258843669 countsByYear W22588436692021 @default.
• W2258843669 countsByYear W22588436692023 @default.
• W2258843669 crossrefType "journal-article" @default.
• W2258843669 hasAuthorship W2258843669A5000794754 @default.
• W2258843669 hasAuthorship W2258843669A5001665589 @default.
• W2258843669 hasAuthorship W2258843669A5017903934 @default.
• W2258843669 hasAuthorship W2258843669A5033577830 @default.
• W2258843669 hasAuthorship W2258843669A5038997948 @default.
• W2258843669 hasAuthorship W2258843669A5042744379 @default.
• W2258843669 hasAuthorship W2258843669A5048018377 @default.
• W2258843669 hasAuthorship W2258843669A5058308676 @default.
• W2258843669 hasAuthorship W2258843669A5066362614 @default.
• W2258843669 hasBestOaLocation W22588436691 @default.
• W2258843669 hasConcept C101433766 @default.
• W2258843669 hasConcept C103208741 @default.
• W2258843669 hasConcept C118820876 @default.
• W2258843669 hasConcept C121332964 @default.
• W2258843669 hasConcept C127413603 @default.
• W2258843669 hasConcept C138496976 @default.
• W2258843669 hasConcept C15744967 @default.
• W2258843669 hasConcept C158379689 @default.
• W2258843669 hasConcept C163258240 @default.
• W2258843669 hasConcept C17744445 @default.
• W2258843669 hasConcept C199539241 @default.
• W2258843669 hasConcept C200601418 @default.
• W2258843669 hasConcept C21880701 @default.
• W2258843669 hasConcept C2779056723 @default.
• W2258843669 hasConcept C2779679103 @default.
• W2258843669 hasConcept C39432304 @default.
• W2258843669 hasConcept C41008148 @default.
• W2258843669 hasConcept C43214815 @default.
• W2258843669 hasConcept C62520636 @default.
• W2258843669 hasConcept C66283442 @default.
• W2258843669 hasConcept C76155785 @default.
• W2258843669 hasConceptScore W2258843669C101433766 @default.
• W2258843669 hasConceptScore W2258843669C103208741 @default.
• W2258843669 hasConceptScore W2258843669C118820876 @default.
• W2258843669 hasConceptScore W2258843669C121332964 @default.
• W2258843669 hasConceptScore W2258843669C127413603 @default.
• W2258843669 hasConceptScore W2258843669C138496976 @default.
• W2258843669 hasConceptScore W2258843669C15744967 @default.
• W2258843669 hasConceptScore W2258843669C158379689 @default.
• W2258843669 hasConceptScore W2258843669C163258240 @default.
• W2258843669 hasConceptScore W2258843669C17744445 @default.
• W2258843669 hasConceptScore W2258843669C199539241 @default.
• W2258843669 hasConceptScore W2258843669C200601418 @default.
• W2258843669 hasConceptScore W2258843669C21880701 @default.
• W2258843669 hasConceptScore W2258843669C2779056723 @default.
• W2258843669 hasConceptScore W2258843669C2779679103 @default.
• W2258843669 hasConceptScore W2258843669C39432304 @default.
• W2258843669 hasConceptScore W2258843669C41008148 @default.

• next