Improvement of experimental Modal Data Using the "Emphasized Data Analysis".

Abstract

In this paper a supplementary technique to improve modal results is presented, called the Emphasized Data Analysis. A priori knowledge of the test specimen is required, which usually is provided by a standard multiple input-multiple output identification, taking into account all available inputs and outputs. While low global accuracy indicators highlight candidate modes for improvement, local accuracy indicators are used for selection of optimal inputs and outputs. The successful application of the Emphasized Data Analysis to the CLUMOD structure is illustrated in this report. Accuracy and stability of modal parameters of six target modes could be improved considerably. In addition, the computation time of the Emphasized Data Analysis is much shorter compared to the standard MIMO approach, due to the fact that the data input matrices are drastically reduced.