Browsing by Author "Sakib, Md. Salman"

Now showing 1 - 2 of 2

Fault Analysis in Electrical System using Machine Learning Algorithms
(Department of Electrical and Elecrtonics Engineering(EEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh, 2024-06-25) Sakib, Md. Salman; Mahmud, Maleha; Shomyo, Md. Safin Mahmood
This research provides an overview of the prediction accuracy of different classification-based machine learning algorithms from a ‘Simulink based 3-phase Electrical System Model’. The model consists of a three-phase source and two relay bus bars connecting the ends of two subsystems. The data generation for faults was embedded by connecting a three-phase fault block between two subsystems. Later, the whole simulation was explained by interchanging the parameters among phase A, B, C and Ground. Each of the simulation placed between 0 to 1 second. The data table exhibits more than 16,000 samples across voltages ranging from -0.1023 V to 1.9776 V and a current ranging from -0.13813 A to 12.53622 for each of the faulty phase. More than 70% of the data was used for model training later and rest of the 30% raw data was planned for prediction. For classification, KNN, SVM, LR, DT, Gradient Boosting, Random Forest and MLP Classifiers algorithms were used for comparison. After several Preprocessing, ‘Random Forest’ algorithm comes with the highest accuracy of 0.9477 or 94.77%. Thus, the prediction can help the electrical engineers to automate the process of fault detection with the help of machine learning.
Study on Fabric Assistance of Various Woven (Denim) Fabrics
(Daffodil International University, 2025-07-02) Fahad, Md. Mahmudul Hasan; Sakib, Md. Salman; Jawad, Akib
The goal of this research is how different fabric weave structure, yarn count, EPI and PPI affects the strengths of woven (denim) fabrics. Fabric properties greatly depends on the constructionalparameters, process followed and machine condition. Denim fabrics are normally produced with natural fiber such as cotton. This study shows the variety of fabric assistance of cotton woven (Denim) fabric from different weave structures yarn count, EPI and PPI. It was supposed to have variations based on different weave structures. Fabric density also affects the fabric assistance of woven (Denim) fabrics. Through this work we found the connection betweentheoretical conceptions and practical work. Through this work we found that when the fabric is woven the strength increases significantly. The tensile strength of twill fabric is normally high and in denim fabric it’s always higher than other woven fabrics. The stiffness, abrasion resistance, pilling resistance, tearing strength varies from various weave structures and yarn count. The test results are showed in further progression of this study along with necessary data and graphs.