Data-Driven Modeling of Batch Processes

Data-driven Soft Sensors in the process industry

“…Bonne and Jorgensen (2004) commented that: Batch processes are experiencing a renaissance as products-on-demand and first-to-market strategies impel the need for flexible and specialised production methods. This statement is clearly demonstrating the increased demand for modelling tools based on batch process data.…”

A virtual supply airflow rate meter for rooftop air-conditioning units

“…Many processes in the food and biochemistry industry, like fermentation processes, utilize transient-state virtual sensors (Rotem, et al 2000;Kampjarvi, et al 2008). Transient-state virtual sensors are also very common in the specialty chemistry field (Bonne and Jorgensen 2004). However, steady-state virtual sensors represent the majority of the applications in different fields (Qin 1997;Casali, et al 1998;Park and Han 2000;Jos de Assis and Maciel Filho 2000;Meleiro and Finho 2000;Radhakrishnan and Mohamed 2000;Devogelaere, et al 2002;James, et al 2002.et al).…”

Recent developments in the monitoring, modeling and control of biological production systems

“…To model biological processes from first engineering principles is a challenge, especially when new genomics and proteomics data are taken into account. Models for optimization, monitoring and control can be improved significantly by using on-line data from the process: so-called data-driven modeling [21]. This can be based on either multivariate correlation models for monitoring, time series models, or models that combine the first engineering principles with corrective data.…”

“…This can be based on either multivariate correlation models for monitoring, time series models, or models that combine the first engineering principles with corrective data. These approaches have been shown to be useful in practical applications, such as for correlation models in yeast fedbatch or continuous cultivations, and for predictive time series models in wastewater treatment [21,22].…”