Looking for small perturbations in time series data

Hi, I am looking for ideas from the ML community. I am trying to discover small perturbations conditioned on one feature space of a multi dimensional time series data .

Perturbations are significant deviations from the normal behavior in the multidimensional Random variables time series. It must exclude noise which is periodic.