Search for dissertations about: "Model-free based method"
Showing result 1 - 5 of 21 swedish dissertations containing the words Model-free based method.
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1. Structural Health Monitoring of Bridges : Model-free damage detection method using Machine Learning
Abstract : This is probably the most appropriate time for the development of robust and reliable structural damage detection systems as aging civil engineering structures, such as bridges, are being used past their life expectancy and beyond their original design loads. Often, when a significant damage to the structure is discovered, the deterioration has already progressed far and required repair is substantial. READ MORE
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2. On Fault Detection, Diagnosis and Monitoring for Induction Motors
Abstract : In this thesis, multiple methods and different approaches have been established and evaluated successfully, in order to detect and diagnose the faults of induction motors (IMs). The aim of this thesis is to present novel fault detection and isolation methods for the case of induction machines that would have the merit to be implemented online and being characterized by specific novel capabilities, when compared with the existing techniques. READ MORE
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3. Departure-Based Intrusion Detection
Abstract : Industrial Control Systems (ICS) combine information technology with operation technology to monitor or control physical industrial processes via computer-based programs and often operate on critical infrastructures. As such, compromised or maliciously operated ICS can cause devastating consequences on society at large. READ MORE
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4. The reinforcement learning method : A feasible and sustainable control strategy for efficient occupant-centred building operation in smart cities
Abstract : Over half of the world’s population lives in urban areas, a trend which is expected to only grow as we move further into the future. With this increasing trend in urbanisation, challenges are presented in the form of the management of urban infrastructure systems. READ MORE
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5. A tiny glimpse into the human brain using model-free analysis for resting-state fMRI data
Abstract : Resting-state functional Magnetic Resonance Imaging (fMRI) acquires four dimensional data that indirectly depicts human brain activity. Within these four dimensional datasets reside resting-state functional connectivity networks (RFNs), depicting how the human brain is organized functionally. READ MORE