DIAGNOSTIC SYSTEMS AND METHODS FOR PREDICTIVE CONDITION MONITORING

PROBLEM TO BE SOLVED: To provide a system (902) for empirically diagnosing a condition of a monitored system (918). SOLUTION: Estimates of monitored parameters (920) obtained from a model (922) of the system provide residual values (924)that can be analyzed for failure mode signature recognition (91...

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Bibliographische Detailangaben
Hauptverfasser:	WEGERICH STEPHAN W, PIPKE ROBERT MATTHEW, WOLOSEWICZ ANDRE
Format:	Patent
Sprache:	eng
Schlagworte:	ACCESSORIES THEREFOR APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USINGWAVES OTHER THAN OPTICAL WAVES APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FORPROJECTING OR VIEWING THEM CALCULATING CINEMATOGRAPHY COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING COUNTING ELECTRIC DIGITAL DATA PROCESSING ELECTROGRAPHY FUNCTIONAL ELEMENTS OF SUCH SYSTEMS HOLOGRAPHY MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHOTOGRAPHY PHYSICS REGULATING
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Zusammenfassung:	PROBLEM TO BE SOLVED: To provide a system (902) for empirically diagnosing a condition of a monitored system (918). SOLUTION: Estimates of monitored parameters (920) obtained from a model (922) of the system provide residual values (924)that can be analyzed for failure mode signature recognition (916). Residual values can also be tested for alert (non-zero) conditions (927), and patterns (914) of alerts thus generated are analyzed for failure mode signature patterns (916). The system (902) employs a similarity operator for signature recognition (916) and also for parameter estimation (924). Failure modes are empirically determined, and precursor data (930) is automatically analyzed to determine differentiable signatures for failure modes (916). COPYRIGHT: (C)2008,JPO&INPIT