CPC G08G 5/0043 (2013.01) [G07C 5/008 (2013.01); G07C 5/0816 (2013.01); G07C 5/085 (2013.01)] | 20 Claims |
1. A method comprising:
obtaining, at one or more processors, a plurality of data sets, each data set of the plurality of data sets including multivariate time series data for a respective sample period of a plurality of sample periods;
for each data set of the plurality of data sets, determining, by the one or more processors, recurrence data indicative of recurrent states in the data set;
for each data set of the plurality of data sets, determining, by the one or more processors based on the recurrence data, determinism values of a determinism metric and laminarity values of a laminarity metric;
determining, by the one or more processors, that a particular data set of the plurality of data sets includes data representing an anomalous state based on a determinism-laminarity curve representing the particular data set, wherein the determinism-laminarity curve is based on the determinism values of the particular data set and the laminarity values of the particular data set; and
generating, by the one or more processors, output data indicating the anomalous state.
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