Essays about: "industrial source and data"
Showing result 1 - 5 of 113 essays containing the words industrial source and data.
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1. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE
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2. Deep Learning-Based Anomaly Detection for Predictive Maintenance of Cold Isostatic Press
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Predictive maintenance is an automated technique that analyses sensor data from industrial systems to enable downtime planning. Available for this study is unlabelled data from sensors placed in proximity to hydraulic system outlets of a cold isostatic press. READ MORE
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3. Effekter av en skogsskötsel som gynnar marklav på svagare marker
University essay from SLU/Dept. of Forest Resource ManagementAbstract : Inom renskötselområdet som motsvarar 50% av Sveriges areal har andelen lavmark av lavtyp minskat med 71 procent de senaste 60 åren. Minskningens takt ser ut att avta men lavmark fortsätter ändå att minska. Den främsta anledning till att mängden marklav minskat tros bero på det moderna industriskogsbrukets framfart. READ MORE
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4. Solar industrial heating with a hybrid solar collectors’ configuration and thermal storage : Dynamic simulation and techno-economic analysis
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : This study investigates the feasibility and performance of a hybrid system integrating photovoltaic (PV) and solar thermal technologies for industrial process heat. By analyzing various parameters including cost, income, energy production, and system specifications, valuable insights are obtained. READ MORE
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5. Computation Offloading for Real-Time Applications : Server Time Reservation for Periodic Tasks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Edge computing is a distributed computing paradigm where computing resources are located physically closer to the data source compared to the traditional cloud computing paradigm. Edge computing enables computation offloading from resource-constrained devices to more powerful servers in the edge and cloud. READ MORE