Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309760082> ?p ?o ?g. }
- W4309760082 abstract "Building equipment failures can have a significant impact on facility operations and performance. Accurately estimating this risk of failure is a crucial aspect of maintenance decision-making for facility managers. However, developing a reliable failure model typically requires a substantial data set of past failures, which is often unavailable or not applicable for components operating in situ. This paper presents a novel machine learning method to estimate equipment failure probabilities based on more easily obtained condition inspection observations rather than relying on limited failure event data sets. The method starts with a neural network to develop an accurate degradation model from equipment inspection data. Next, the model generates estimated failure ages from known equipment condition states, thus alleviating the reliance on observed equipment failures. This paper proposes a new failure likelihood function, which is used to select parameters to characterize the failure process. The resulting parametric model can estimate failure probabilities for a given component based on time in service. This method is validated against various types of building equipment, and a case study demonstrates the use of the model to plan repair operations under failure risk uncertainty." @default.
- W4309760082 created "2022-11-29" @default.
- W4309760082 creator A5002263687 @default.
- W4309760082 creator A5048438088 @default.
- W4309760082 creator A5054704773 @default.
- W4309760082 creator A5068133970 @default.
- W4309760082 creator A5087835619 @default.
- W4309760082 date "2023-02-01" @default.
- W4309760082 modified "2023-10-10" @default.
- W4309760082 title "Parametric Estimation of Equipment Failure Risk with Machine Learning and Constrained Optimization" @default.
- W4309760082 cites W1498125516 @default.
- W4309760082 cites W1536422307 @default.
- W4309760082 cites W1966253548 @default.
- W4309760082 cites W1979275051 @default.
- W4309760082 cites W1979943318 @default.
- W4309760082 cites W1980516183 @default.
- W4309760082 cites W1986546598 @default.
- W4309760082 cites W1991862552 @default.
- W4309760082 cites W1993934093 @default.
- W4309760082 cites W2002325107 @default.
- W4309760082 cites W2028147226 @default.
- W4309760082 cites W2029273576 @default.
- W4309760082 cites W2040667028 @default.
- W4309760082 cites W2042874645 @default.
- W4309760082 cites W2043976338 @default.
- W4309760082 cites W2054137409 @default.
- W4309760082 cites W2063150290 @default.
- W4309760082 cites W2076560852 @default.
- W4309760082 cites W2092425154 @default.
- W4309760082 cites W2092918769 @default.
- W4309760082 cites W2112082363 @default.
- W4309760082 cites W2120558179 @default.
- W4309760082 cites W2133201266 @default.
- W4309760082 cites W2149036489 @default.
- W4309760082 cites W2149990210 @default.
- W4309760082 cites W2164401082 @default.
- W4309760082 cites W2607097720 @default.
- W4309760082 cites W2728298330 @default.
- W4309760082 cites W2744215939 @default.
- W4309760082 cites W2768025618 @default.
- W4309760082 cites W2798890825 @default.
- W4309760082 cites W2806629027 @default.
- W4309760082 cites W2943898831 @default.
- W4309760082 cites W2966721149 @default.
- W4309760082 cites W2998335114 @default.
- W4309760082 cites W3011327820 @default.
- W4309760082 cites W3091798833 @default.
- W4309760082 cites W3126272279 @default.
- W4309760082 cites W3196462103 @default.
- W4309760082 cites W3214833668 @default.
- W4309760082 cites W4230844100 @default.
- W4309760082 cites W68384591 @default.
- W4309760082 doi "https://doi.org/10.1061/jpcfev.cfeng-4284" @default.
- W4309760082 hasPublicationYear "2023" @default.
- W4309760082 type Work @default.
- W4309760082 citedByCount "2" @default.
- W4309760082 countsByYear W43097600822023 @default.
- W4309760082 crossrefType "journal-article" @default.
- W4309760082 hasAuthorship W4309760082A5002263687 @default.
- W4309760082 hasAuthorship W4309760082A5048438088 @default.
- W4309760082 hasAuthorship W4309760082A5054704773 @default.
- W4309760082 hasAuthorship W4309760082A5068133970 @default.
- W4309760082 hasAuthorship W4309760082A5087835619 @default.
- W4309760082 hasConcept C105795698 @default.
- W4309760082 hasConcept C111919701 @default.
- W4309760082 hasConcept C117251300 @default.
- W4309760082 hasConcept C119857082 @default.
- W4309760082 hasConcept C121332964 @default.
- W4309760082 hasConcept C127413603 @default.
- W4309760082 hasConcept C14036430 @default.
- W4309760082 hasConcept C168167062 @default.
- W4309760082 hasConcept C177264268 @default.
- W4309760082 hasConcept C199360897 @default.
- W4309760082 hasConcept C200601418 @default.
- W4309760082 hasConcept C33923547 @default.
- W4309760082 hasConcept C41008148 @default.
- W4309760082 hasConcept C50644808 @default.
- W4309760082 hasConcept C66283442 @default.
- W4309760082 hasConcept C78458016 @default.
- W4309760082 hasConcept C86803240 @default.
- W4309760082 hasConcept C97355855 @default.
- W4309760082 hasConcept C98045186 @default.
- W4309760082 hasConceptScore W4309760082C105795698 @default.
- W4309760082 hasConceptScore W4309760082C111919701 @default.
- W4309760082 hasConceptScore W4309760082C117251300 @default.
- W4309760082 hasConceptScore W4309760082C119857082 @default.
- W4309760082 hasConceptScore W4309760082C121332964 @default.
- W4309760082 hasConceptScore W4309760082C127413603 @default.
- W4309760082 hasConceptScore W4309760082C14036430 @default.
- W4309760082 hasConceptScore W4309760082C168167062 @default.
- W4309760082 hasConceptScore W4309760082C177264268 @default.
- W4309760082 hasConceptScore W4309760082C199360897 @default.
- W4309760082 hasConceptScore W4309760082C200601418 @default.
- W4309760082 hasConceptScore W4309760082C33923547 @default.
- W4309760082 hasConceptScore W4309760082C41008148 @default.
- W4309760082 hasConceptScore W4309760082C50644808 @default.
- W4309760082 hasConceptScore W4309760082C66283442 @default.
- W4309760082 hasConceptScore W4309760082C78458016 @default.
- W4309760082 hasConceptScore W4309760082C86803240 @default.
- W4309760082 hasConceptScore W4309760082C97355855 @default.