公开(公告)号：US20230123872A1

公开(公告)日：2023-04-20

申请号：US17906196

申请日：2021-03-19

申请人： Siemens Energy, Inc.

发明人： Bruno Paes Leao ,  Leandro Pfleger de Aguiar ,  Matheus Martins ,  Matthew Stewart

IPC分类号： G06F21/55 ,  G06F21/62

摘要： A computer-implemented method of detecting an anomalous action associated with a physical system includes developing, by a computing device a plurality of vectors, each vector indicative of an event that occurred at a specific time within the system, combining, with the computing device each vector that occurred within a predefined time duration into one of a plurality of master vectors, and performing, with the computing device a cluster analysis to group each master vector of the plurality of master vectors into one of a plurality of states. The method also includes determining, with the computing device a real-time master vector based at least in part on one or more events that occur within the predefined time duration, classifying, with the computing device the real-time master vector as a real-time state, and indicating that the real-time state is anomalous when the real-time state doesn't match one of the plurality of states.