A basic study of virtual sensing implementation for a product

Abstract

Virtual sensing is a method to estimate unobservable or unmeasurable state variables by combining exsisting measurement data with model information. When FE model is applied to the virtual sensing, vibration response data estimated at all nodes. When it enables to estimate the vibration response data at all nodes, for example, it will be possible to simulate sound radiation from mechanical structure with the vibration response data. However, it is difficult to determine how many sensors should be installed to apply the virtual sensing to a machine. In addition, the accuracy of the model required by the virtual sensing is unknown. Therefore, the purpose of this study is to clarify the relation between the accuracy of vibration estimation for degree of freedom, estimable upper frequency limit, accuracy of model, number of observation points required, position of observation point, setting up the covariance matrix.