<p>Disertacija obrađuje problematiku pronalaženja pouzdane tehnike analize signala mehaničkih vibracija s ciljem identifikacije analiziranih tipova oštećenja zupčastih parova. U disertaciji je predložen postupak redukcije dimenzionalnosti obeležja primenom metode analize glavnih komponenata. Istraživanje uspešno demonstrira primenu naprednih tehnika procesiranja signala vibracija i inteligentnih metoda u vibrodijagnostici zupčastih parova te omogućava osobama koje nisu specijalisti iz oblasti dijagnostike da procene stanje zupčastog para. Predložena su najuniverzalnija obeležja u vibrodijagnostici zupčastih parova baziranih na signalima vibracija prikupljenih na kućištu zupčastog prenosnika.</p> / <p>The dissertation deals with the issue of finding reliable signal analysis technique of mechanical vibrations to identify analyzed types of gear pair faults. The dissertation presents a method of reducing the dimensionality of features by using the method of principal components analysis. The study successfully demonstrates use of advanced signal processing techniques and artificial intelligent methods in diagnostics of gear pairs faults and allows engineers who are not specialists in the field to assess the condition of gear pair using vibration signals. The most universal features in diagnostics of gear pairs based on vibration signals collected on the gearbox housing are proposed.</p>

This diploma thesis is focused on operation and maintenance of BI systems based on Microsoft's SQL Server 2008 R2 platform. This work covers regular activities related to BI system management that means monitoring, performance tuning, maintenance, administration, backup and recovery tasks. System management is based mainly on SQL Server's native management tools along with Microsoft's applications System Center: Essentials and System Center: Data Protection Manager. The main goal of this work is to create BI system operations and maintenance methodology in cooperation with Clever Decision which is specialized in BI area. Partial goals are to design a way of monitoring components of BI system, including to outline backup and recovery posibilities, maintenance and performance tuning of the SQL Server platform. Each chapter contains methods, best practices, summary tables and appropriate tools which help DBA to achieve the specified goals. The main contribution of this work is operations and maintenance methodology created according to Clever Decision's needs. Among the other contributions of this thesis also belongs the definition of using tools for monitoring and maintenance and their relations to the SQL Server's components. The work also contains simple backup and performance tuning methodology for SQL Server. At least, this diploma thesis represents comprehensive material which is strictly focused on OLAP databases operation and maintenance.