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1. 1. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

   Master-uppsats, Högskolan i Gävle/Elektronik

   Författare :Pradip Nath; [2024]
   Nyckelord :Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

   Sammanfattning : 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. LÄS MER

3. 2. Wireless Sensor Network for Controlling the Varroasis Spread within Bee colonies across a Geographical Region

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Venkat Sai Akhil Dasyam; Saketh Pokuri; [2024]
   Nyckelord :Wireless Sensor Networks; Monitoring and Control; Precision Beekeeping; Disease spread; Internet of Things.;

   Sammanfattning : Background: With the global decline of honey bee populations, safeguarding these vital pollinators has become crucial. Varroa destructor mites are a primary threat, weakening bees and facilitating the spread of diseases, which can decimate colonies and disrupt ecosystems. LÄS MER

4. 3. Mining infrequent group of motifs from multidimensional time series: A case study at Alfa Laval AB

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Fabeena Thoufeeq; Reeba Susan Ashok; [2024]
   Nyckelord :;

   Sammanfattning : In collaboration with an industrial partner, Alfa Laval AB, this thesis discusses a novel approach for identifying operational modes, specifically a cleaning mode, in separator machines without the benefit of labelled data and with very limited operating knowledge. Understanding the operational modes is crucial for comprehending the machine’s behaviour and ensuring its optimal performance. LÄS MER

5. 4. Peak Load Shaving Strategies of an Office Building : A Case Study at AirSon

   Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Författare :Azin Farzam; [2024]
   Nyckelord :Shifting Peak Load; Electricity Reduction; Measuring Peak Load; Electricity Efficiency; Building Management System; Electricity Consumption.;

   Sammanfattning : Introduction: The global demand for renewable energy is expected to grow annually due to rising electricity consumption and economic and regulatory incentives. Efficient consumption and management of electricity consumption can support this trend (shifting from fossil resources to renewable resources) and benefit companies economically by reducing peak loads, reducing subscription costs, and protecting companies' power systems and networks. LÄS MER

7. 5. Real-Time System Benchmarking with Embedded Linux and RT Linux on a Multi-Core Hardware Platform

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Kian Hosseini; [2024]
   Nyckelord :Real-time; Embedded systems; Benchmarking; Multicore;

   Sammanfattning : To catch up with the growing trend of parallelism, this thesis work focuses on the adaption of embedded real-time systems to a multicore platform. We use the embedded system of Xilinx ZCU-102, a multicore board, as an example of an embedded system without getting deep into its architecture. LÄS MER