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In recent years we have seen the exciting possibilities of eMaintenance become a recognized source of productivity improvement in industry. The seamless linking of systems and equipment to control centres for real time reconfiguring is improving efficiency, reliability, and sustainability in a variety of settings. Methods of overcoming the challenges of data collection and processing are explained before the introduction of tools for data driven condition monitoring and decision making. This book will improve efficiency of operations, maintenance staff, infrastructure managers and system integrators by accessing a real time computerized system from data to decision. This is a guide for everyone interested in the possibilities of running a plant as a smart asset. Includes links to eMaintenance applications and MATLAB code which can be downloaded and usedProvides an introduction to collecting and processing data from machinery \Explains how to use sensor-based tools to increase efficiency of diagnosis, prognosis, and decision-making in maintenance
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Engleski
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