Montague G A, Morris A J, Tham M T
Department of Chemical and Process Engineering, University of Newcastle, UK.
J Biotechnol. 1992 Aug;25(1-2):183-201. doi: 10.1016/0168-1656(92)90114-o.
This paper discusses the concept of generic model-based software sensors with particular reference to bioprocess application. The industrial need for software sensing is considered and two industrial bioprocess systems are used in order to highlight the operability problems which warrant their development. Alternative philosophies for formulation are considered and the relative merits of the methodologies discussed. In particular, two different procedures are presented--an adaptive linear model based method, and a method based upon artificial neural networks. The performances of these alternative approaches are studied by their application to two industrial demonstrator processes. The results serve to highlight the operability improvements that can be gained through software sensor development.
本文讨论了基于通用模型的软件传感器的概念，特别提及了生物过程应用。考虑了工业对软件传感的需求，并使用两个工业生物过程系统来突出那些需要开发软件传感器的可操作性问题。考虑了公式化的不同理念，并讨论了这些方法的相对优点。特别提出了两种不同的程序——一种基于自适应线性模型的方法和一种基于人工神经网络的方法。通过将这些不同方法应用于两个工业示范过程来研究它们的性能。结果突出了通过软件传感器开发可实现的可操作性改进。
