Evaluation and improvement of the single diode model's parameters used for solar PV modelling by Botha, Pieter Johannes Johnson

Subjects: “…Diodes -- Model -- Parameter estimation…”
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Analysis of single-diode and improvement of double-diode photovoltaic source modelling methods and techniques by Shongwe, Samkeliso Hubert

“…Parameter estimation techniques within a modelling method are generally used to estimate the five unknown parameters in the single-diode model. …”
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Rooibos fermentation - characterising phenolic changes using chemometric analysis and kinetic modelling by Tobin, Jade

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Diagnosis and prognosis of rolling element bearings at low speeds and varying load conditions using higher order statistics and artificial intelligence

“…SVDD belong to the statistical learning theory class which is used here in this work to show the remaining useful life (RUL) of the bearing under study. Although many models have recently been applied with good generalization of results in predicting the RUL of bearings where they integrate the statistics (like the Kaplan-Meier estimator, Mahanalobis distance, principal component analysis (PCA) etc.) and artificial intelligent (AI) methods (e.g. artificial neural network (ANN), feed forward neural network (FFNN), recurrent neural network (RNN) etc.), it has been proven that using only the statistical method is not sufficient to give good predictions, but a hybrid of both methods often yield good results. exTSFRLSA is used on most occasions for tuning, adjusting parameters and for adaptation in the propagation model by comparing predicted and measured defect sizes as in, hence the instantaneous rate of defect propagation of the bearing can be captured despite defect growth behavior variation.…”
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