Essays about: "fault types"
Showing result 16 - 20 of 82 essays containing the words fault types.
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16. Small Signal Stability of Power Systems With Increased Converter Based Power Production
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The aim of this project is to analyze how increasing the share of converter-based power production in a power system affects the small signal stability. The project also aims to stabilize systems using Power System Stabilizers (PSSs), and examine the effect of two different types of power electronic converters: grid following (GFL) and grid forming (GFM). READ MORE
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17. Predictive Maintenance in Industrial Machinery using Machine Learning
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Background: The gearbox and machinery faults prediction are expensive both in terms of repair and loss output in production. These losses or faults may lead to complete machinery or plant breakdown. READ MORE
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18. Internal Combustion Engine Calibration considering the Embedded Systems Sensor Accuracy
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In recent years, the increasing economic, environmental and legal demands on internal combustion engines to reduce emissions and fuel consumption are a major challenge. A lot of effort has been put into achieve reliable methods of diagnosis, fault detection and monitoring to increase safety and efficiency in vehicles. READ MORE
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19. Evaluation of Symmetrical Components Theory in Power Systems with Renewable Sources
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Rapidly growing Inverter- Based Resources (IBR) have different fault properties compared to Synchronous Generators (SG). Therefore, it is necessary to study the fault behavior of systems that contain different types of IBR and compare it to the conventional system responses in order to understand what steps should be taken to adapt conventional protection settings for new types of sources. READ MORE
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20. Automated error matching system using machine learning and data clustering : Evaluating unsupervised learning methods for categorizing error types, capturing bugs, and detecting outliers.
University essay from Linköpings universitet/Programvara och systemAbstract : For large and complex software systems, it is a time-consuming process to manually inspect error logs produced from the test suites of such systems. Whether it is for identifyingabnormal faults, or finding bugs; it is a process that limits development progress, and requires experience. READ MORE