Essays about: "Condition monitoring"
Showing result 1 - 5 of 223 essays containing the words Condition monitoring.
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1. Inventory management of redundant components in a highly automated environment - A case study at a manufacturing company
University essay from Göteborgs universitet/Graduate SchoolAbstract : SKF is a leading manufacturer of bearings, seals, lubrication systems, and condition monitoring systems. Since its beginning in 1907, the company has grown steadily, and now it serves clients in over 130 countries worldwide. READ MORE
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2. Development and Implementation of Techniques for the Simulation and Processing for Future SAR Systems
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Synthetic Aperture Radar (SAR) is a type of radar system that can generate high-resolution images with which one can detect subtle changes on the scale of centimetres from space. It can operate in any weather condition and during both day and night, making it unique compared to optical sensors. READ MORE
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3. Anomaly Detection for Condition Monitoring in Robot Systems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This thesis addresses the detection of wear patterns in robot joints as an indication of the increase in wear level or impending failures. The main challenges include identifying key wear features, developing efficient anomaly detection algorithms, ensuring generalization across different joints and operating conditions, and enabling real-time monitoring. 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. 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