Present invention concerns a method and a system for monitoring data of an industrial process. The method comprises steps of acquiring a parameter related to the industrial process; determining the distance of said acquisition to a cluster; and determining that said acquisition represents an anomaly if its distance to the cluster exceeds a predetermined threshold. In this, the cluster comprises at least a predetermined number of acquisitions that are closer to each other than a predetermined distance and the distance between the acquisition and the cluster is the shortest distance between said acquisition and any acquisition of the cluster.
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