报告题目：Software Sensors and Inferential Estimation
报告人： Dr Jie Zhang
School of Engineering
Newcastle University, Newcastle upon Tyne NE1 7RU, UK
Abstract: In the last two decades Software Sensors, often referred to as Soft Sensors, have established themselves as a valuable addition, sometimes alternative, to traditional means for the acquisition of critical process variables for process monitoring, process control and process optimisation. Other terms for such predictive sensors in the process industry are virtual sensors and inferential measurements. Inferential estimation and software sensors R&D and industrial applications started in Newcastle in the 1980’s. Since that time the literature and industrial applications of software sensors has grown significantly and more recently has been ‘reinvented’ as a ‘Virtual Process Analytical Technology tool’ in ‘Industrie 4.0’. The talk will discuss the characteristics of different forms of data-driven Soft Sensors which are common to the chemicals, materials, pharmaceuticals, bio-processing, etc. A number of case studies will be described covering the three most important Soft Sensor application fields, a general introduction to the most popular Soft Sensor modelling techniques as well as a discussion of some open issues in the Soft Sensor development and maintenance and their possible solutions are the main contributions of this work.
Dr Jie Zhang received his PhD in Control Engineering from City University, London, in 1991. He has been with the School of Chemical Engineering and Advanced Materials, Newcastle University, UK, since 1991 and is Reader in Process Systems Engineering and Degree Programme Director for MSc Applied Process Control. His research interests are in the general areas of process system engineering including process modelling, batch process control, process monitoring, and computational intelligence. He has published over 300 papers in international journals, books, and conference proceedings. He is on the Editorial Boards of a number of journals including Neurocomputing published by Elsevier, International Journal of Automation and Computing published by Springer, and PLOS ONE.