Output details

Data-driven Soft Sensors in the process industry

Agenda setting review which since its publication in May 2009 has attracted significant attention and is very often cited by other researchers in the fields of intelligent/ inferential/ soft sensors and predictive modelling in the chemical engineering area. According to the CaCE journal webpage (http://www.journals.elsevier.com/computers-and-chemical-engineering/most-cited-articles/) it is ""the most cited article published since 2008 in the CaCE journal as extracted from SciVerse Scopus"". The paper has been listed in ScienceDirect's Top 25 Hottest Articles of the journal since January 2009 (http://top25.sciencedirect.com/subject/chemical-engineering/5/journal/computers-chemical-engineering/00981354/archive/23/).

Apart from the comprehensive systematic review and description of industry practices based on original research within a process industry and carried out in collaboration with practitioners, the identified in the paper open issues (and proposed solutions) concerned with automating the process of soft sensors development and maintenance led to a number of further grant applications including the EU funded INFER project (€1,555,380, BU: €890,421, 2010-2014, Ref: FP7-PEOPLE-2009-IAPP-251617) within the strategic Industry-Academia Partnerships and Pathways (IAPP) scheme. The research undertaken as part of the collecting of the material for this paper (and a series of papers on robust adaptive predictive systems that preceded and followed after it) has also been disseminated by invited keynote and plenary talks delivered by Gabrys at the HAIS 2008 (Spain), ICONIP 2008 (New Zealand), ICIAP 2009 (Italy), CISIS 2009 (Spain), INFER-APS 2011 (UK) and ICMMI'2013 (Poland) conferences.