Poincaré plot-based fault detection on tennessee eastman process using various machine learning algorithms Çeşitli makine öğrenimi algoritmalarını kullanarak tennessee eastman sürecinde poincaré grafik tabanlı hata tespiti

Çancıoğlu, Emre

ABSTRACTThis thesis presents diagnose and detect faults of Tennessee Eastman Process (TEP) with machine learning algorithms via Poincaré plots-based feature extraction and statistically analysis-based feature selection. The IEEEDataPort online dataset, obtained from a big plant that contains nonlinear processes from various chemical units, is utilized in this thesis. It contains measures from 52 process points in TEP with 20 dissimilar malfunction types. In this study, raw dataset and dataset that applied feature extraction and feature selection was used. Poincaré plot was applied to the datas ...Daha fazlası

Yüksek Lisans 2022 Savaş Şahin Graduate School of Natural and Applied Sciences 19 Görüntülenme

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Detection of dyes in water using smartphone technology for environmental sustaınability

Kocakuşak Özdemir, Gizem

The goal of this thesis is to develop the applicability of an ultra-low cost, field-deployable, plastic fiber based smartphone spectrometer system to study dye adsorption from water. A custom cradle using smartphone’s built-in flash and camera was designed for visible absorbance spectroscopy without any need for external electrical components. We firstly investigated the performance of smartphone spectrometer for methylene blue (MB) absorbance in water with a detection limit of 0.5 ppm, and compared it to that of a commercial spectrometer. We elaborated on the contribution of image formats to ...Daha fazlası

Yüksek Lisans 2017 Mehmet Ertuğrul SOLMAZ İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 11 Görüntülenme