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1. 1. Implementing Kalman Filtering Algorithms for Estimating Clamp Force on a Test Rig : Testing the Power and Limitations of Unscented Kalman Filter-based Estimations

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Tim Naser; [2023]
   Nyckelord :Clamping Froce; Kalman Filtering; Unscented Kalman Filtering; Tightening; Consequence of User Errors During Tightening; Velocity Profiles; Klämkraft; Kalman Filtrering; Unscented Kalman Filtrering; Åtdragning; Konsekvens av Användarfel Under Åtdragning; Hastightersprofiler.;

   Sammanfattning : his study explores clamp force estimation using Unscented Kalman Filtering (UKF) in torque-controlled tightening scenarios with various velocity profiles. Previous research has explored the impact of velocity levels on target torque and clamping force, but only using hand-held tools. LÄS MER

3. 2. Rotor temperature estimation in Induction Motors with Supervised Machine Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Christopher Gauffin; [2023]
   Nyckelord :Induction motors; Supervised Machine learning; Power converters; Parameter estimation; Embedded systems; Induktionsmotorer; Övervakad maskininlärning; Strömkonverterare; Parameterestimering; Inbyggda system;

   Sammanfattning : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. LÄS MER

4. 3. Ankle Torque Estimation Using HDEMG Driven CNN-LSTM Model and Data Augmentation

   Master-uppsats, KTH/Medicinteknik och hälsosystem

   Författare :Haocheng Zhang; [2023]
   Nyckelord :data augmentation; deep learning; ankle joint torque estimation; HD-sEMG; dataökning; djupinlärning; vridmomentuppskattning av ankelleden; HD-sEMG;

   Sammanfattning : Robotic-powered exoskeletons are increasingly used to assist patients with movement disorders in daily life and rehabilitation. Accurately estimating joint torque, especially for dynamic movement conditions using EMG, is crucial for effective assistance. LÄS MER

5. 4. Test Rig Development for Real Time Clamping Force Estimation in Threaded Tightenings with Implemented Extended Kalman Filtering

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Annie Farell; [2023]
   Nyckelord :Clamping force; Threaded Fastener; Extended Kalman Filtering; Test Rig Development; Real Time Estimation; Sensor Placement.; Klämkraft; gängad fästelement; utökad Kalman filtrering; testrigsutveckling; estimering i realtid; sensorplacering.;

   Sammanfattning : The clamping force between the components during bolt tightening is of great interest, and it has been the focus of developing new tightening techniques for a long time. Today there is no easy or practical method to directly measure the clamping force in a typical production situation. LÄS MER

7. 5. A Comparative Study of Machine Learning Algorithms for Angular Position Estimation in Assembly Tools

   Master-uppsats, KTH/Matematisk statistik

   Författare :Henrik Fagerlund; [2023]
   Nyckelord :applied mathematics; circular fully convolutional network; nearest neighbour method; power tools; threaded fasteners; neural network; machine learning; convolution; tillämpad matematik; cirkulärt faltningsnätverk; närmaste granne-metod; elverktyg; skruvförband; neuralt nätverk; maskininlärning; faltning;

   Sammanfattning : The threaded fastener is by far the most common method for securing components together and plays a significant role in determining the quality of a product. Atlas Copco offers industrial tools for tightening these fasteners, which are today suffering from errors in the applied torque. LÄS MER