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Design of a Smart Algorithm Based on Two Dimensional Wavelet Transformation for Detection and Classification of Power Quality Disturbances
, M.Sc. Thesis Sharif University of Technology ; Mokhtari, Hossein (Supervisor)
Abstract
Power Quality can be simply defined as the quality of voltage at electrical loads. Detection and classification of voltage and current disturbances is of high importance in power system protection and monitoring. This procedure cannot be implemented by operators because of the high volume of the data which must be processed. So, it is needed to automate this procedure. Systems designed for this purpose usually contain three main parts: feature generation, feature selection and classifier design. The algorithms used for feature generation for power quality disturbances are mainly based on discrete Fourier transformation or discrete wavelet transformation. These approaches have shown some...
Computer Aided Process Planning System Based On STEP
, M.Sc. Thesis Sharif University of Technology ; Houshmand, Mahmoud (Supervisor)
Abstract
Process Planning is the link between CAD and CAM and is one of the most complex issues in product development chain. In addition, this process is time-consuming, costly and requires expert man power. In recent decades, many Computer Aided Process Planning (CAPP) systems are developed to reduce the duration of Process Planning and many feature based process planning systems have been reported. Feature recognition and determining the precedence of machining features are the most critical issues in feature-based process planning. It gets more complicated where geometric interaction occurs between machining features. This work, focuses on feature recognition and their geometric interactions and...