ABSTRACTIndustrial robots currently used in industry all have their own interfaces and unique languages. These commonly used interfaces and languages are often limited to industry needs. Although there are several robotic solutions, practically all of them can't rectify problems on their own. When a program is required for a more complex task, machine vision locates objects and puts them in desired locations and for situations such as applying the correct force for assembly operations by measuring with force-torque sensors, they often need third-party programs as existing systems cannot respon ...Daha fazlası
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
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.