FLASAR ALGORITHM
The abbreviation stands for Fuzzy Logic Algorithmic System for Anomaly Recognition.
We focus on a new approach that provides an alternative to usual visual analysis of data by a human expert. FLASAR algorithms are elaborated on the basis of artificial intelligence, fuzzy-logics and discrete mathematical analysis. These algorithms carry out morphological studies of time series perusing the goal to allocate their segments with unusual (anomaly) behaviour of the signal.
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FLASAR algorithms are based on a collection of algorithms which have been developed specifically for identifying anomalies in different noisy time series. Figure above is relative to Electric signals related to seismic activity. |
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| Frame of FCARS algorithm. FCARS operates first at local and then at global level. |