Essays about: "train safety"
Showing result 1 - 5 of 74 essays containing the words train safety.
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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. Challenges in Specifying Safety-Critical Systems with AI-Components
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. READ MORE
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3. STUDY OF DISTRIBUTED/FEDERATED LEARNING APPROACHES WITH RANDOM FOREST FOR SENSOR FAILURE DETECTION IN MANUFACTURING ENVIRONMENT
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : In a manufacturing environment, the continuous operation of production lines is of most importance to ensure optimal productivity and profitability. To maintain efficiency and safety, production lines often rely on systems that utilize data from sensors placed around the manufacturing process. READ MORE
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4. Rotor temperature estimation in Induction Motors with Supervised Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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5. Using Reinforcement Learning to Correct Soft Errors of Deep Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep Neural Networks (DNNs) are becoming increasingly important in various aspects of human life, particularly in safety-critical areas such as autonomous driving and aerospace systems. However, soft errors including bit-flips can significantly impact the performance of these systems, leading to serious consequences. READ MORE