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: A method and apparatus monitor an operational state of a telemetry data system, wherein the operational state is a nominal or a novel operation state. The telemetry data includes time series data of at least one parameter indicating the operational state. The method obtains sample interval data indicating a parameter time series data of the at least one parameter relating to a time interval duration; determines one or more characteristic quantities of the sample interval data, the characteristic quantities determined forms a sample set; obtains pre-stored sets of characteristic quantities at least one parameter and time intervals duration during nominal operation state; determines a probability sample set of characteristic quantities being outlier with respect to pre-stored sets of characteristic quantities; and if the probability exceeds a threshold, provides a message with the sample interval data and at least one system parameter or notifies no novel behaviors found.

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.

Abstract: The present invention relates to a method and an apparatus for determining which one or more time series parameters of a plurality of time series parameters relating to operation of a system are correlated with a first operation state of the system.

Abstract: A method and apparatus for accessing messages y contained in a data store 100 is provided. The method comprises the steps of determining a number of messages y of a predetermined message type forming a structure S consisting of a plurality of said messages y of the predetermined message type in the data store 100, selecting the structure, reading a first bit x of each message y of said structure consecutively, and reading a subsequent bit x+n of each message y of said structure consecutively until a final bit x of each message is read.

Abstract: The present invention relates to a method and an apparatus for determining which one or more time series parameters of a plurality of time series parameters relating to operation of a system are correlated with a first operation state of the system.