ENBIS 2021 Spring Meeting

Session

Process control

1.4.2

17 May 2021, 14:05

Online

Conveners

Process control

• Kristina Krebs (prognostica GmbH)

51. Detection of transient changes in urban air pollution by PM10

Ms Fatima Ezzahra MANA (Université de Technologie de Troyes / Laboratoire Informatique et Société Numérique)

17/05/2021, 14:05

Data Science in Process Industries

According to the World Health Organization, the increase in the concentration of PM10 (particulate matter) in the air, values greater than 50 μg /m3, is a serious problem that threatens the environmental balance. Several research projects have been proposed in the detection of pollution peaks in offline and online mode to keep the variation of PM10 under control. While the increase in the...

64. Change-point detection in an high-dimensional model with possibly asymmetric errors

Nicolas DULAC

17/05/2021, 14:25

Data Science in Process Industries

Quite often in industrial applications modeled using statistical models, the problem of changing these models at unknown times arises. These changes can be detected in real time during the process, or after all observations have been collected, and are called respectively, on line change-point detection, and a posteriori change-point detection. Moreover, depending on the theoretical conditions...

80. Big DoE: Sequential and Steady Wins the Race?

Dr Ben Francis (JMP)

17/05/2021, 14:45

Data Science in Process Industries

Imagine an experiment that has 5 categorical factors with 3, 4, 4, 8 and 12 levels, respectively. The combination of all of these in a full factorial experiment is 4,608 runs. Would you like to run all of those experiments? While you could if you had no restrictions on time, cost and sanity implications, this is not practical (especially if you consider adding levels or factors).

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