Essays about: "Failures detection"
Showing result 1 - 5 of 61 essays containing the words Failures detection.
-
1. IDENTIFYING HATE SPEECH IN SOCIAL MEDIA THROUGH CONTENT AND SOCIAL CONNECTIONS ANALYSIS
University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteoriAbstract : Hate speech is a problem which puts its targets at risk of serious harm. It spreads fast and has a real influence on the society because of the ubiquity of the internet and social media, and so various research efforts have been put to find solutions to automatic hate speech detection. READ MORE
-
2. 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
-
3. Exogenous Fault Detection in Aerial Swarms of UAVs
University essay from KTH/Matematik (Avd.)Abstract : In this thesis, the main focus is to formulate and test a suitable model forexogenous fault detection in swarms containing unmanned aerial vehicles(UAVs), which are aerial autonomous systems. FOI Swedish DefenseResearch Agency provided the thesis project and research question. READ MORE
-
4. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. READ MORE
-
5. 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
