Method and system of monitoring and prognostics
First Claim
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1. An analysis system for monitoring an operating device comprising:
- at least one sensor of a device related parameter;
at least one neural network for receipt and processing of representations of sensor output information, including automatically detecting device anomalies to generate selected output information, the neural network including an input port for receipt of time indicating indicia and which includes at least one of an input port for information from a displaced computer network, or, an output port to transmit information to a displaced computer network.
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Abstract
A neural network learns the operating modes of a system being monitored under normal operating conditions. Anomalies can be automatically detected and learned. A control command can be issued or an alert can be issued in response thereto.
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Citations
42 Claims
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1. An analysis system for monitoring an operating device comprising:
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at least one sensor of a device related parameter; at least one neural network for receipt and processing of representations of sensor output information, including automatically detecting device anomalies to generate selected output information, the neural network including an input port for receipt of time indicating indicia and which includes at least one of an input port for information from a displaced computer network, or, an output port to transmit information to a displaced computer network. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A method comprising:
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sensing a plurality of conditions associated with operation of a selected system; sensing periodic time based indicia; generating representations of the sensed conditions; processing the representations along with at least some of the time based indicia, with at least one neural network; combining results of the processing, and responsive to the combining, producing at least one of an alarm indicator, or, a control signal and where processing includes comparing time evolution of sensed conditions with learned time evolution of operation of the selected system. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25)
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26. An analysis system for monitoring an operating device comprising:
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at least one sensor of a device related parameter; at least one neural network for receipt and processing of representations of sensor output information, including automatically detecting device anomalies to generate selected output information, the neural network including an input port for receipt of time indicating indicia and where the at least one neural network responds to a plurality of time based representations of sensor output information indicative of normal operation by creating stored internal representations thereof, and, where a device anomaly comprises at least one time based representation which deviates from the stored internal representation in accordance with at least one pre-established criterion. - View Dependent Claims (27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42)
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Specification