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Showing result 1 - 5 of 224 essays matching the above criteria.
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1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.
University essay from Högskolan i Gävle/ElektronikAbstract : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. READ MORE
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2. Buildings in the Digital Era : An Explorative Study of Digital Twins in the Built Environment
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : In recent years, digital twins (DT) have gained traction in enhancing operation and maintenance procedures across various industrial sectors, such as manufacturing, energy, and aerospace. Yet their utilization remains more limited in the built environment. READ MORE
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3. WILL THE MUNICIPALITIES BENEFIT? : The impact of wind power deployment on the local economy- Evidence from Sweden
University essay from Umeå universitet/NationalekonomiAbstract : Investment in wind energy has increased rapidly in the past few decades in Sweden and is believed to be important for mitigating climate change and contributing to energy independence. Despite this, wind power projects are frequently met with local opposition, and many wind power projects are rejected by the municipal veto. READ MORE
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4. A deep learning approach for drilling tool condition monitoring in Raiseboring
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Drilling tool wear can significantly affect the performance of the drilling operation and add extra cost to it. Accurate detection of drilling tool condition is very important for enabling proactive maintenance, minimizing downtime, and optimizing drilling processes. READ MORE
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5. Challenges in the Maintenance and Diagnostic Segment of Digital Asset Management in the Swedish Railway Industry
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Just like the rest of society, the use of digital technology has throughout the years become a more crucial part for train companies to improve performance, meet customer demands, improve operation and maintenance processes to increase efficiency and reliability. These solutions have through time developed to become part of a cluster named Digital Asset Management (DAM). READ MORE