Han Kyu Park

US Patent:

6625569, Sep 23, 2003

Filed:

Mar 6, 2002

Appl. No.:

10/092471

Inventors:

Mark L. James - Pasadena CA
Ryan M. E. Mackey - Pasadena CA
Han G. Park - Arcadia CA
Michail Zak - Cypress CA

Assignee:

California Institute of Technology - Pasadena CA

International Classification:

G06F 1700

US Classification:

702183, 702 84, 702104, 702190, 702191, 702196

Abstract:

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

US Patent:

7080290, Jul 18, 2006

Filed:

Mar 6, 2002

Appl. No.:

10/092491

Inventors:

Mark L. James - Pasadena CA, US
Ryan M. E. Mackey - Pasadena CA, US
Han G. Park - Arcadia CA, US
Michail Zak - Cypress CA, US

Assignee:

California Institute of Technology - Pasadena CA

International Classification:

G06F 11/00

US Classification:

714 47, 703 2, 702179

Abstract:

A generalized formalism for diagnostics and prognostics in an instrumented system which can provide sensor data and discrete system variable takes into consideration all standard forms of data, both time-varying (sensor or extracted feature) quantities and discrete measurements, embedded physical and symbolic models, and communication with other autonomy-enabling components such as planners and schedulers. This approach can be adapted to on-board or off-board implementations with no change to the underlying principles.