The method of novelty detection is applied to diagnose damage in a simple simulated lumped-parameter mechanical system. It is shown that the system transmissibility provides a sensitive feature for the detection of small stiffness changes. A novelty index based on the statistics of the data is shown to give improved discrimination.
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