FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385880554> ?p ?o ?g. }

• W4385880554 endingPage "121104" @default.
• W4385880554 startingPage "121104" @default.
• W4385880554 abstract "For condition monitoring and predictive maintenance of high-end manufacturing equipment, surface roughness is a critical metric to evaluate machining quality. Designing a method that can meet the requirements of on-machine monitoring tasks to confirm the cutters’ machinability is of great practical significance. Specifically, data-driven on-machine roughness measurement is a recently emerged non-contact method, which has the characteristics of non-invasive and high efficiency. However, recent studies indicate that, for the manufacturing sectors, the on-machine measurement processes are required to respect the predominant impact from the interference of ambient noise or shocks. Besides, the acquisition of microscopic morphology images such as white light interferometers (WLI) is still a relatively expensive and offline acquisition process. And the scale of available WLI data is limited for most industrial application cases. Considering the above-mentioned analysis, this paper proposes a new hybrid machine condition monitoring method based on interpretable dual tree methods, where the adopted interpretable decision tree models obtain knowledge from both topography analysis and acquired texture images of the white light interferometer. It couples with the Shapley additive explanation (SHAP) theory to analyze the main contribution features. The proposed method provides a promising solution to the poor interpretability of feature contribution analysis in general machine condition monitoring methods, which can accurately identify the machinery’s physical states under various operating conditions." @default.
• W4385880554 created "2023-08-17" @default.
• W4385880554 creator A5013302911 @default.
• W4385880554 creator A5015451061 @default.
• W4385880554 creator A5074695926 @default.
• W4385880554 date "2024-01-01" @default.
• W4385880554 modified "2023-10-02" @default.
• W4385880554 title "Hybrid Machine Condition Monitoring based on Interpretable Dual Tree Methods using Wasserstein Metrics" @default.
• W4385880554 cites W1499842900 @default.
• W4385880554 cites W1969798824 @default.
• W4385880554 cites W2046671503 @default.
• W4385880554 cites W2118735559 @default.
• W4385880554 cites W2154053567 @default.
• W4385880554 cites W2187541352 @default.
• W4385880554 cites W2519051404 @default.
• W4385880554 cites W2560327280 @default.
• W4385880554 cites W2601486059 @default.
• W4385880554 cites W2618579378 @default.
• W4385880554 cites W2983210627 @default.
• W4385880554 cites W3017961231 @default.
• W4385880554 cites W3088533109 @default.
• W4385880554 cites W3093010392 @default.
• W4385880554 cites W3115710758 @default.
• W4385880554 cites W3122985179 @default.
• W4385880554 cites W3124916412 @default.
• W4385880554 cites W3183414894 @default.
• W4385880554 cites W3201911387 @default.
• W4385880554 cites W3207770237 @default.
• W4385880554 cites W4205131913 @default.
• W4385880554 cites W4207030936 @default.
• W4385880554 cites W4214811431 @default.
• W4385880554 cites W4220780033 @default.
• W4385880554 cites W4220860010 @default.
• W4385880554 cites W4224273747 @default.
• W4385880554 cites W4285900042 @default.
• W4385880554 cites W4288032970 @default.
• W4385880554 cites W4292260879 @default.
• W4385880554 cites W4295036619 @default.
• W4385880554 cites W4297510522 @default.
• W4385880554 cites W4309768776 @default.
• W4385880554 doi "https://doi.org/10.1016/j.eswa.2023.121104" @default.
• W4385880554 hasPublicationYear "2024" @default.
• W4385880554 type Work @default.
• W4385880554 citedByCount "0" @default.
• W4385880554 crossrefType "journal-article" @default.
• W4385880554 hasAuthorship W4385880554A5013302911 @default.
• W4385880554 hasAuthorship W4385880554A5015451061 @default.
• W4385880554 hasAuthorship W4385880554A5074695926 @default.
• W4385880554 hasConcept C111919701 @default.
• W4385880554 hasConcept C113174947 @default.
• W4385880554 hasConcept C119857082 @default.
• W4385880554 hasConcept C124101348 @default.
• W4385880554 hasConcept C127162648 @default.
• W4385880554 hasConcept C127413603 @default.
• W4385880554 hasConcept C134306372 @default.
• W4385880554 hasConcept C138885662 @default.
• W4385880554 hasConcept C154945302 @default.
• W4385880554 hasConcept C162324750 @default.
• W4385880554 hasConcept C176217482 @default.
• W4385880554 hasConcept C21547014 @default.
• W4385880554 hasConcept C2776401178 @default.
• W4385880554 hasConcept C2781067378 @default.
• W4385880554 hasConcept C31258907 @default.
• W4385880554 hasConcept C32022120 @default.
• W4385880554 hasConcept C33923547 @default.
• W4385880554 hasConcept C41008148 @default.
• W4385880554 hasConcept C41895202 @default.
• W4385880554 hasConcept C523214423 @default.
• W4385880554 hasConcept C5941749 @default.
• W4385880554 hasConcept C71039073 @default.
• W4385880554 hasConcept C78519656 @default.
• W4385880554 hasConcept C84525736 @default.
• W4385880554 hasConcept C98045186 @default.
• W4385880554 hasConceptScore W4385880554C111919701 @default.
• W4385880554 hasConceptScore W4385880554C113174947 @default.
• W4385880554 hasConceptScore W4385880554C119857082 @default.
• W4385880554 hasConceptScore W4385880554C124101348 @default.
• W4385880554 hasConceptScore W4385880554C127162648 @default.
• W4385880554 hasConceptScore W4385880554C127413603 @default.
• W4385880554 hasConceptScore W4385880554C134306372 @default.
• W4385880554 hasConceptScore W4385880554C138885662 @default.
• W4385880554 hasConceptScore W4385880554C154945302 @default.
• W4385880554 hasConceptScore W4385880554C162324750 @default.
• W4385880554 hasConceptScore W4385880554C176217482 @default.
• W4385880554 hasConceptScore W4385880554C21547014 @default.
• W4385880554 hasConceptScore W4385880554C2776401178 @default.
• W4385880554 hasConceptScore W4385880554C2781067378 @default.
• W4385880554 hasConceptScore W4385880554C31258907 @default.
• W4385880554 hasConceptScore W4385880554C32022120 @default.
• W4385880554 hasConceptScore W4385880554C33923547 @default.
• W4385880554 hasConceptScore W4385880554C41008148 @default.
• W4385880554 hasConceptScore W4385880554C41895202 @default.
• W4385880554 hasConceptScore W4385880554C523214423 @default.
• W4385880554 hasConceptScore W4385880554C5941749 @default.
• W4385880554 hasConceptScore W4385880554C71039073 @default.
• W4385880554 hasConceptScore W4385880554C78519656 @default.
• W4385880554 hasConceptScore W4385880554C84525736 @default.
• W4385880554 hasConceptScore W4385880554C98045186 @default.

• next