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Tavarajunan jarrujen toiminnan varmistus automaattisesti langattomalla mittausjärjestelmällä
(2021)
Diplomityö
Diplomityö
Tavaraliikenteen automatisointi mahdollistaa suuria hyötyjä raideliikenteen operaattoreille. Automaattinen liikenne mahdollistaa nopeammat kääntöajat, raidekapasiteetin kasvattamisen ja liikenteen luotettavuuden parantamisen. ...
Remote Monitoring and Control of Industrial Equipment Through OPC UA and Cloud Computing
(2021)
Diplomityö
Diplomityö
Enterprises in green energy and decarbonizing sectors are adopting more value-driven strategies by engaging in the hyper-digital era. New business models are thereby emerging that offer new values for manufacturers and ...
Kulutushuippujen tasaaminen akuston avulla
(2021)
Diplomityö
Diplomityö
Vesitaseohjaussovelluksen tuotteistaminen
(2021)
Diplomityö
Diplomityö
Design and implementation of high-level Agile test planning for an industrial automation system
(2021)
Diplomityö
Diplomityö
Software is used in industrial automation systems in multiple aspects and scenarios. This software needs to be tested to prevent expensive and potentially dangerous failures and the testing needs to be planned for it to ...
3D Perception System Design for Heavy-Duty Field Robots
(2021)
Diplomityö
Diplomityö
Autonomous driving and mobile robotics are achieving significant milestones, and perception systems are in an essential role for their versatile data and various applications. The objectives of this thesis were to find out ...
Developing computer vision-based soft sensor for municipal solid waste burning grate boiler : A practical application for flame front and area detection
(2021)
Diplomityö
Diplomityö
Waste is incinerated in grate boilers to produce energy that is then converted to electricity and heat. Even though grate boilers can use low-quality waste as fuel, the grate combustion is proven to be harder to control ...
Autonomous Mobile Robots in Small Batch Size Production
(2021)
Diplomityö
Diplomityö
This thesis concentrates on autonomous mobile robots (AMRs) in small batch size produc-tion. The main objective was to determine sales arguments for autonomous mobile robot usage in production environment. This objective ...
Deep Learning for Object Detection: Training Data Generation using Parametric CAD Modelling and Gazebo Simulation
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
Deep learning-based object detection and pose estimation methods need a large number of synthetic data for application in robotic assembly tasks. The acquisition of such data from real objects tends to be arduous, erroneous, ...