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Virtual sensors (VS) allow measurement of process parameters where direct measurement is too expensive or even not possible. For the virtual sensors which build their internal process model after the data-driven method, e.g. by use of an artificial neural network (ANN), there is a problem of the evaluation of the prediction performance. The up to date solutions solve this problem only partially and...
This paper presents a new method of virtual measurement of process parameters in the dead-time systems using the virtual adaptive sensor. The method's goal is elimination of the technology-related signal dead-time in automation systems for optimal process control. The additional goal is to make the real-time control possible also in complex processes with dead-time behavior without high development...
This article shows the increasing importance of failure diagnosis in automated systems. Two new methods for the failure diagnosis of temporary parallel signal-processes are introduced. Based on these new methods for analyzing, a procedure for the efficient diagnosis of defects is described and prepared use-oriented for supporting the maintenance staff (troubleshooter). The essential use of these two...
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