FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384080253> ?p ?o ?g. }

• W4384080253 endingPage "11" @default.
• W4384080253 startingPage "1" @default.
• W4384080253 abstract "Nowadays, with the wide adoption of Industry 4.0 and service-oriented manufacturing, leased manufacturing systems are facing new informatics challenges in the efficiency, scalability, and profitability of operation and maintenance. On the one hand, the centralized cloud needs to serve multiple high-value leased machines located remotely far from the lessor in real time. On the other hand, massive field data will be generated locally through proliferated Internet of Things (IoT) devices. The traditional cloud frameworks are limited by the computational capability and the scheduling complexity. To handle the above problems, we propose an edge-based framework that integrates real-time prognosis with opportunistic maintenance for the leased manufacturing system. Firstly, we extend cloud computing capabilities with edge computing resources for supporting condition prognosis and maintenance scheduling. Then, the edge-level prognosis will update time-to-failure (TTF) distributions and evaluate dynamic predictive maintenance intervals (DPMIs) for each leased machine in real time. By identifying maintenance opportunities from edge sides, the cloud-level PM scheduling will be dynamically executed for the whole leased system. A real case study of a leased engine crankshaft system deployed the proposed edge-based framework is conducted. Numerical results significantly demonstrate the computing efficiency, communication improvement, and economic advantage of our edge-based framework compared with the cloud-based solutions for the leased manufacturing system. <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>Note to Practitioners</i> —This work is motivated by improving the efficiency, scalability, and profitability of prognosis&health management (PHM) in the leased manufacturing system through edge computing. Currently, most existing PHM frameworks are based on the cloud to monitor the health condition and schedule the PM for a single machine which cannot be directly applied to multi-unit leased manufacturing systems. Meanwhile, due to the limited cloud capability and proliferated IoT devices, the timely prognosis updating and optimal maintenance scheduling are often constrained under the product-service paradigm. It is essential to coordinate the field-level resources, edge-level prognosis, and cloud-level PM in a hierarchical framework for the multi-unit leased manufacturing system to promote computational performance and maximize leasing profits.To fill this research gap, we develop an edge-based framework coupling with the real-time prognosis based leasing profit optimization (RP-LPO) strategy to achieve PHM for the whole system, as well as the optimal PM scheduling. Compared with the cloud-based frameworks and conventional maintenance policy, our edge-based framework with RP-LPO strategy greatly reduces the data transmission, the space storage, the synchronization time and maximizes leasing profits." @default.
• W4384080253 created "2023-07-13" @default.
• W4384080253 creator A5004079863 @default.
• W4384080253 creator A5026272730 @default.
• W4384080253 creator A5056432606 @default.
• W4384080253 creator A5064485004 @default.
• W4384080253 creator A5073881354 @default.
• W4384080253 date "2023-01-01" @default.
• W4384080253 modified "2023-10-16" @default.
• W4384080253 title "An Edge-Based Framework for Real-Time Prognosis and Opportunistic Maintenance in Leased Manufacturing System" @default.
• W4384080253 doi "https://doi.org/10.1109/tase.2023.3292908" @default.
• W4384080253 hasPublicationYear "2023" @default.
• W4384080253 type Work @default.
• W4384080253 citedByCount "0" @default.
• W4384080253 crossrefType "journal-article" @default.
• W4384080253 hasAuthorship W4384080253A5004079863 @default.
• W4384080253 hasAuthorship W4384080253A5026272730 @default.
• W4384080253 hasAuthorship W4384080253A5056432606 @default.
• W4384080253 hasAuthorship W4384080253A5064485004 @default.
• W4384080253 hasAuthorship W4384080253A5073881354 @default.
• W4384080253 hasConcept C10138342 @default.
• W4384080253 hasConcept C111919701 @default.
• W4384080253 hasConcept C120314980 @default.
• W4384080253 hasConcept C127413603 @default.
• W4384080253 hasConcept C129361004 @default.
• W4384080253 hasConcept C154945302 @default.
• W4384080253 hasConcept C162307627 @default.
• W4384080253 hasConcept C162324750 @default.
• W4384080253 hasConcept C200601418 @default.
• W4384080253 hasConcept C206729178 @default.
• W4384080253 hasConcept C21547014 @default.
• W4384080253 hasConcept C2778456923 @default.
• W4384080253 hasConcept C41008148 @default.
• W4384080253 hasConcept C48044578 @default.
• W4384080253 hasConcept C55416958 @default.
• W4384080253 hasConcept C68387754 @default.
• W4384080253 hasConcept C70452415 @default.
• W4384080253 hasConcept C79974875 @default.
• W4384080253 hasConceptScore W4384080253C10138342 @default.
• W4384080253 hasConceptScore W4384080253C111919701 @default.
• W4384080253 hasConceptScore W4384080253C120314980 @default.
• W4384080253 hasConceptScore W4384080253C127413603 @default.
• W4384080253 hasConceptScore W4384080253C129361004 @default.
• W4384080253 hasConceptScore W4384080253C154945302 @default.
• W4384080253 hasConceptScore W4384080253C162307627 @default.
• W4384080253 hasConceptScore W4384080253C162324750 @default.
• W4384080253 hasConceptScore W4384080253C200601418 @default.
• W4384080253 hasConceptScore W4384080253C206729178 @default.
• W4384080253 hasConceptScore W4384080253C21547014 @default.
• W4384080253 hasConceptScore W4384080253C2778456923 @default.
• W4384080253 hasConceptScore W4384080253C41008148 @default.
• W4384080253 hasConceptScore W4384080253C48044578 @default.
• W4384080253 hasConceptScore W4384080253C55416958 @default.
• W4384080253 hasConceptScore W4384080253C68387754 @default.
• W4384080253 hasConceptScore W4384080253C70452415 @default.
• W4384080253 hasConceptScore W4384080253C79974875 @default.
• W4384080253 hasFunder F4320309612 @default.
• W4384080253 hasFunder F4320321001 @default.
• W4384080253 hasLocation W43840802531 @default.
• W4384080253 hasOpenAccess W4384080253 @default.
• W4384080253 hasPrimaryLocation W43840802531 @default.
• W4384080253 hasRelatedWork W1979267941 @default.
• W4384080253 hasRelatedWork W1992741870 @default.
• W4384080253 hasRelatedWork W2019385245 @default.
• W4384080253 hasRelatedWork W2389719923 @default.
• W4384080253 hasRelatedWork W2546696010 @default.
• W4384080253 hasRelatedWork W2765557566 @default.
• W4384080253 hasRelatedWork W2804912624 @default.
• W4384080253 hasRelatedWork W2945616868 @default.
• W4384080253 hasRelatedWork W4252233456 @default.
• W4384080253 hasRelatedWork W4312934817 @default.
• W4384080253 isParatext "false" @default.
• W4384080253 isRetracted "false" @default.
• W4384080253 workType "article" @default.