ENBIS-21 Online Conference

Session

Modelling 2

PS24_C4

14 Sept 2021, 10:40

Online

Conveners

Modelling 2

• Chair: Marco P. Seabra dos Reis (University of Coimbra, Department of Chemical Engineering)

43. Bayesian Transfer Learning for modelling the hydrocracking process using kriging

Loïc IAPTEFF

14/09/2021, 10:40

Modelling

Hydrocracking process reaction takes place in presence of a catalyst, and when supplying a catalyst, a vendor must guarantee its performance. In this work, the linear and the kriging model are considered to model the process. The construction of predictive models is based on experimental data and experiments are very expensive. New catalysts are constantly being developed so that each new...

57. Estimating the Time to Reach the Curing Temperature in Autoclave Curing Processes

Gözdenur Kırdar (Hacettepe University)

14/09/2021, 11:00

Modelling

Autoclave curing process is one of the important stages in manufacturing. In this process, multiple parts are loaded in the autoclave as a batch, they are heated up to their curing temperature (heating phase) and cured at that temperature for their dwell period. There are two main considerations that affect how parts are placed in the autoclave. Firstly, if some parts reach the curing...

63. Modelling electric vehicle charging load with point processes and multivariate mixtures

Yvenn Amara-Ouali

14/09/2021, 11:20

Modelling

Numerous countries are making electric vehicles their key priority to reduce emissions in their transport sector. This emerging market is subject to multiple unknowns and in particular the charging behaviours of electric vehicles. The lack of data describing the interactions between electric vehicles and charging points hinders the development of statistical models describing this interaction...

84. A hybrid method for degradation assessment and fault detection in rolling element bearings

Yonatan Nissim

14/09/2021, 11:40

Modelling

Rolling Element Bearings (REBs) are key components in rotary machines, e.g., turbines and engines. REBs tend to suffer from various faults causing serious damage to the whole system. Therefore, many techniques and algorithms have been developed over the past years, to detect and diagnose, as early as possible, an incipient fault and its propagation using vibration monitoring. Moreover, some of...