Abstract: A method for resampling time series data includes determining a first time series of data points; determining a variation of the data points within a selected sequence, wherein the variation is determined by determining linearly interpolated data points for the data points of the selected sequence and by determining a maximum absolute difference. If a determined variation is greater than a predetermined error value, subsequences are selected by repeatedly dividing the first time series into adjacent subsequences until the first time series comprises a set of subsequences, wherein a determined variation for each of the subsequences is smaller than the predetermined error value. A resampled time series is created by adding the data points of the first time series that correspond to a first or last data point of the selected subsequences to the resampled time series, wherein every data point is added only once to the resampled time series.

Abstract: The present invention relates to a method for resampling time series data and to a telemetric device configured to resample measured time series data. A method for resampling time series data comprises the following steps: determining a first time series 10 comprising a sequence of data points Pi; determining a variation V of the data points Pi within a selected sequence of data points, wherein the variation V is determined by determining linearly interpolated data points Qi for the data points Pi of the selected sequence and by determining a maximum absolute difference V between the data point value Pi and the corresponding interpolated data point value Qi for the data points of the selected sequence.