ENBIS 2021 Spring Meeting

Session

AI in process industries

2.4.2

18 May 2021, 14:05

Online

Conveners

AI in process industries

• Nikolaus Haselgruber (CIS consulting in industrial statistics GmbH)

72. Towards Robust process design. The sensitivity analysis using machine learning methods

Tina Sadat DANESH ALAGHEHBAND (Chemical Engineering Laboratory, Université de Toulouse, CNRS, Toulouse, France, LGC UMR 5503)

18/05/2021, 14:05

Data Science in Process Industries

In this study, we merge the sensitivity analysis method with the machine learning approach. We perform our study on the electrical power output of a combined cycle power plant using MLP neural networks.

73. Review of Quantum Algorithms and Quantum Information for Data Science

David Han

18/05/2021, 14:25

Data Science in Process Industries

Quantum computing is a new revolutionary computing paradigm, first theorized in 1981. It is based on quantum physics and quantum mechanics, which are fundamentally stochastic in nature with inherent randomness and uncertainty. The power of quantum computing relies on three properties of a quantum bit: superposition, entanglement, and interference. Quantum algorithms are described by the...

78. Process Monitoring – Fundamentals, Experiences and Use-Cases

Raino Petricevic (iNDTact GmbH)

18/05/2021, 14:45

Data Science in Process Industries

Process and condition monitoring seem to be a key for nowadays execution of industry 4.0. Both have the purpose to keep process outcome quality high and operating costs low. The presentation will touch some fundamental conceptions on data quality, machine learning, synthetic training, forecast technologies statistical thinking, maintenance etc. as well as basic process categories from...