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Forecasting spare parts demand using condition monitoring information
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The development and control of an autonomous sailboat
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Subsynchronous resonance in series compensated networks with high penetration of renewable energy sources
Published 2022“…The dissertation dissects the SSR problem with emphasis on its management in a modern power system environment receiving rising RES and flexible alternating current transmission systems (FACTS) connections through series compensated lines. The simulations performed in this study utilised the IEEE first benchmark model (FBM) within Digital Simulation and Electrical Network – PowerFactory (DIgSILENT) software. …”
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Simplified approaches for portfolio decision analysis
Published 2022“…The decision support system implements exact methods, namely the linear-additive portfolio value model and the robust portfolio model, as well as two portfolio heuristics found to perform well in simulations.…”
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A study of the decay of acid cationic ion exchange resin
Published 2017“…An original method of model simulation for the purposes of fitting to kinetic data was developed and consists of determining the resin surface concentration from flux data assuming the applicability of Newton's Law of Cooling to the ionic flux through the external laminar layer. …”
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Path planning for an unmanned terrestrial vehicle in an obstacle ridden environment
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Virtualization of multicast services in WiMAX networks
Published 2018“…Multicast service is one of the methods used to efficiently manage bandwidth when sending multimedia content. …”
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Condition Monitoring of VSD-fed Induction Motors
Published 2024“…A similar trend is observed in speed and torque pulsations of the motor under the respective faults. Similarly, the method of diagnostic variables has proven valid for both simulation and experimental results and is able to detect and localise inverter open switch fault for single and double switch fault. …”
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Efficient radio resource management in integrated terrestrial and non-terrestrial networks
Published 2024“…Moreover, the multi-agent deep Q network (MADQN) solution is also simulated as an additional benchmark algorithm. Simulation results reveal that as the number of users in the network increases, the acquired data rate of the MA3DQN is within 0.48% and 0.42% of that achieved by the GA and ILP, respectively, and outperforms all other algorithms. …”
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The influence of prior creep damage on the fracture localisation in X20 CrMoV12-1 cross-weld creep tests
Published 2018“…Non-destructive testing (NDT) methods are utilised extensively on Eskom power plants to determine the remaining life and replacement strategies for critical components. …”
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A multi-phase model to forecast congestion at Brazilian grain ports : a case study at the port of Paranagua
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An investigation into 88 KV surge arrester failures in the Eskom east grid traction network
Published 2023“…The simulation method is applied by applying and modifying the MATLAB code proposed by Shavuka et al. [1]. …”
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Circuit tutor : a computer-aided learning package for electrical engineering
Published 2017“…After an investigation into the different roles of the computer in education the use of modelling and simulation was selected as an effective Computer Aided Learning method. …”
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Multi-objective optimisation under deep uncertainty
Published 2018“…These issues motivated us to perform a Simulation-Optimisation study to simulate the reasonable number of meta-scenarios and enable evaluation, comparison and analysis of the proposed methods for the problems with a T-stage planning horizon. …”
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Model selection-regression and time series applications
Published 2016“…Time series analysis utilizes lagged autocorrelation- and lagged partial autocorrelation coefficients in order to specify the lag structure of the model. …”
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The determining of optimum protocol strategies for half-duplex telemetry communication links
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The dynamic modelling and development of a controller for a general purpose remotely operated underwater vehicle
Published 2016“…Controllers for depth and heading holding are designed using standard PID linearized control methods with gain scheduling and are then assessed within the complete system in a simulation environment. …”
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