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.
- Big Data: What are the opportunities?
- Four different types of challenges you’ll encounter
- Extracting information
- Integrating information
Presenter
Webinar content is available with the kind permission of the author(s) solely for the purpose of furthering AIChE’s & IChemE’s mission to educate, inform and improve the practice of professional chemical engineering. The content reflects the views, opinions, and recommendations of the presenters. AIChE does not warrant or represent, expressly or by implication, the correctness or accuracy of the content of the information presented. All other uses are forbidden without the express consent of the author(s). For permission to re-use, please contact chemepermissions@aiche.org. Attendee contact information, including email addresses, will be shared with AIChE and IChemE, with the option to unsubscribe from future communications.
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