Real-time spatio-temporal coherence estimation for autonomous mode identification and invariance tracking

作者: Michail Zak , Mark L. James , Ryan M. E. Mackey , Han G. Park

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摘要: A general method of anomaly detection (208) from time-correlated sensor data is disclosed. Multiple signals are received. Their cross-signal behavior compared against a fixed library invariants. The constructed during training process, which itself data-driven using the same signals. applicable to broad class problems and designed respond any departure normal operation, including faults or events that lie outside envelope.

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