Blar i Master of Science in Industrial IT and Automation på tittel
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Machine learning methods for Industrial processes
(Master thesis, 2021)The general machine learning algorithms are introduced and explained before being implemented in Python. A comparison of various algorithms are made, and their workings are visualized. Time series data is defined and ... -
Machine learning models for evaluation of online dust measurements in NPK prill stack
(Master thesis, 2022)Yara Porsgrunn are trying to determine the outflow of dust at their NPK prill facilities and if possible reduce it. This data needs also to be reported to the Norwegian authorities. Process data as well as dust measuring ... -
Model based estimation of fluid flow through a venturi channel: Kalman filters and observers
(Master thesis, 2018)In oil drilling operation, the estimation of returning flow is vital for safe operation. The return flow gives an early warning of kick-loss phenomenon. Detecting kick-loss is important to prevent uncontrolled well-blowout. ... -
Modeling of building occupation using motion sensor data
(Master thesis, 2019)As SMART house technology has emerged, the need to estimate position of residents has been important for several cases. In this project, a model of PIR sensor data is presented. The model should be able to predict ... -
Modeling of the chemical dosing at a water resource recovery facility (WRRF)
(Master thesis, 2021)The focus here in this master thesis is developing a smart artificial neural network to model wastewater dosing. In order to use this model in the optimization process to optimize using chemical dosing materials. The thesis ... -
Modelling and Control of Two Degrees of Freedom Helicopter Model
(Master thesis, 2017)USN has built multiple two degrees of freedom helicopters models that are to be used in various courses at USN to expand the knowledge of modeling and control. The helicopter model is a highly unstable system, making it a ... -
Modelling and estimation for return mud flow during drilling
(Master thesis, 2017)Oil drilling is performed to retrieve gas and petroleum from reservoirs that can be kilometers down the earth surface. During a drilling operation, drilling fluid is pumped into the well to remove cuttings and maintain a ... -
Multiphase flow estimation using accelerometers, ultrasonic sensors, and machine learning
(Master thesis, 2022)The new sensors, accelerometers, and ultrasonic sensors were installed in the existing multimodal sensor suite used in the multiphase flow in the process hall in Campus Porsgrunn of USN. Multiphase flow experiments were ... -
Multiphase Flow Metering with Multimodal Sensor Suite for Identification of Flow Regimes, and Estimation of Phase Fractions and Velocities
(Master thesis, 2023)In this Master Thesis, data-driven multiphase flow metering models are developed to classify flow regimes and to estimate phase fractions and velocities of two-phase air/water flow after collecting data from the horizontal ... -
Object Detection and Tracking on a Raspberry Pi using Background Subtraction and Convolutional Neural Networks
(Master thesis, 2018)Object detection and tracking are key features in many computer vision applications. Most state of the art models for object detection, however, are computationally complex. The goal of this project was to develop a fast ... -
Open Source Hardware and Software Alternative to Industrial PLC
(Master thesis, 2016)The revolution of Internet of Things (IoT), Industrial Internet of Things (IIoT) and Industry 4.0 is approaching with new market opportunities for all kinds of smart devices. This thesis was about building such a device, ... -
Optimal Bicycle Gear Selection Using Multi-Sensor Data Fusion The development of a prototype optimal gear selection system and integration with a commercial electronic transmission system for a fully automated gear shifting
(Master thesis, 2016)The latest technology in electronic transmission systems (ETS) and wireless sensors for bicycles bring a high potential to automate gear shifting on bicycles. An optimal gear selection system (GSS) for road bicycles with ... -
Optimal Operation of Processes Under Uncertainty Using Robust Model Predictive Control
(Master thesis, 2021)Model Predictive Control (MPC) is a well-established technology for advanced control of many industrial processes. One of its main benefits is the ability to handle process constraints. However, accuracy of the process ... -
Parallel calibration of multiphase flow meters (MPFM) based on measurements of phase streams in separators
(Master thesis, 2019)The Alvheim field suffers from significant production deferrals of oil and gas, during calibration of multiphase flow meters used in ownership allocation. This thesis has developed an algorithm solving a new method, which ... -
Parallel configuration, control and mirror operation of twin processes using DeltaV
(Master thesis, 2021)The University of South-Eastern Norway has two identical Serial Two Tank systems, a first-order system with time delay. Identical twin processes are systems built with identical physical components. These identical systems ... -
Real time control of robotic arm manipulators
(Master thesis, 2022)This thesis is based around creating an interface between a ROS-based robot arm and MATLAB, focusing mostly on robots in the industry. MATLAB will be used to implement a simulator of the robot and to create communication ... -
Real time monitoring of train wheels and track conditions based on acoustic measurements and multivariate data analysis
(Master thesis, 2022)With rail-vehicle transport considered as greener and more sustainable means of travel in recent global times, there is a need for study and exploration of a real-time monitoring system for rail and its vehicle structures, ... -
Real time monitoring of train wheels and track conditions based on time series analysis and multivariate data analysis
(Master thesis, 2022)As the railways are a significant section of transportation infrastructure, it is crucial to use good maintenance procedures for railway networks. Condition-monitoring of railway wheels and tracks is especially important ... -
Recursive Subspace System Identification (RSSID) algorithms
(Master thesis, 2017)The goal of system identification is to find mathematical equation that gives approximation to the actual behavior of real systems. In this thesis, a recursive subspace model identification algorithm is presented that ...