In this work, the comprehensive modelling, simulation and analysis of solar photovoltaic (SPV) module for different shading conditions is presented. The SPV module is designed using the mathematical equations in Simul...
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Nowadays, among various water treatment and desalination technologies such as reverse osmosis (RO), multi-effect distillation (MED), and multi-stage flash (MSF), RO is an appropriate and suitable technology in th...
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In this work, the comprehensive modelling, simulation and analysis of solar photovoltaic (SPV) module for different shading conditions is presented. The SPV module is designed using the mathematical equations in Simul...
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ISBN:
(数字)9781728154756
ISBN:
(纸本)9781728154763
In this work, the comprehensive modelling, simulation and analysis of solar photovoltaic (SPV) module for different shading conditions is presented. The SPV module is designed using the mathematical equations in Simulink environment using MATLAB. The simulink model is used to determine the static characteristics of the SPV array under different environmental conditions. The key motive of this work is to analyze the effect of partial shading (PS) on a SPV module under different operating conditions. Initially, the simulation modelling of the PV system has been done, proceeds with experimental demonstration of the effect of PS on a single 37 W SPV module.
Fault diagnosis and condition assessment (FDCA) of rotating machines becomes important due to the age of machine in service. Proper FDCA enhance the machine's operational life, efficiency and reducing catastrophic...
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Fault diagnosis and condition assessment (FDCA) of rotating machines becomes important due to the age of machine in service. Proper FDCA enhance the machine's operational life, efficiency and reducing catastrophic failure. This paper describes a realistic FDCA method for three phase induction motors (IMs) using readily available data. External faults experienced by IM are monitored by Multi-class Extreme Learning Machine (ELM) and compared its performance with multilayer perceptron (MLP) neural network which revealed that ELM algorithm is quite faster in investigations leading to reduction in computational load. RMS value of 3-phase voltages and currents are utilized as input variable in ELM model to identify six types of external faults experienced by IM and normal operating (NF) condition. Testing analysis of 160 instances has been performed to represent the robustness of the investigated seven status conditions of IM for wide changes in operating and loading condition perturbation.
This paper shows the application of an artificial neural network (ANN) to implement a speed control system of a gas turbine. Two control structures have been developed: one for the Internal Model controller and anothe...
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This paper shows the application of an artificial neural network (ANN) to implement a speed control system of a gas turbine. Two control structures have been developed: one for the Internal Model controller and another one for the hybrid model. The results obtained with the scheme of the best perfomance are shown. In this case such a scheme consists of an inverse model in parallel with a classic closed loop controller.
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