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公开(公告)号:US20240419525A1
公开(公告)日:2024-12-19
申请号:US18678878
申请日:2024-05-30
Applicant: STMicroelectronics International N.V.
Inventor: Mohamed Ali Moussa , Francois De Rochebouet
Abstract: A method implemented by computer for generating a model for anomaly detection in a system includes obtaining a learning data matrix corresponding to a normal operation of the system, decomposing the learning data matrix into singular values of the matrix of learning data, calculating a new base, defining a maximum Mahalanobis distance threshold representing a limit of the normal operation of the system, and defining an anomaly detection model from the new base and from the maximum Mahalanobis distance threshold.