Big Data promises opportunities for diagnostic, prognostics and decision making. But with it comes challenges that first must be resolved. Learn more in this webinar.
In 60 minutes, explore four Big Data challenges you are likely to face in your plant and how they can become opportunities for better diagnostic, prognostics and decision making. Examine the challenge of extracting information from high-order tensor data structures, which arise from spatially resolved photoluminescence, spectral imaging and color video. Delve into the complexities of integrating information from process flowsheet structure, casual relationships between variables and real-time sensor data. Look at managing the effects of uncertainties, disturbances, faulty sensors, a variation in operator practices and machine dirt. Plus, address nonlinear dynamic operating conditions of simultaneous discrete and continuous nature such as startup, shutdown and product changeover. Be equipped by the end of the webinar to solve these four challenges and more and fully utilize and find value in Big Data.