Electronic system condition monitoring and prognostics
First Claim
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1. A system for monitoring and predicting the condition of a power system of a remote vehicle, the system including memory, and comprising:
- a component model residing in the memory and constructed using power system modeling over both short time scales and long time scales, the short time scales being related to a state of charge of the power system and the long time scales being related to a likelihood of failure of the power system;
an inference engine utilizing the component model and sensor data including at least a temperature of the power system to make predictions about a state of charge of the power system and a likelihood of failure of the power system; and
an action selection component that selects an action to mitigate a potential failure based on an output of the inference engine.
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Abstract
A system for monitoring and predicting the condition of an electronic system comprises a component model, an inference engine based on the component model, and an action selection component that selects an action based on an output of the inference engine.
42 Citations
22 Claims
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1. A system for monitoring and predicting the condition of a power system of a remote vehicle, the system including memory, and comprising:
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a component model residing in the memory and constructed using power system modeling over both short time scales and long time scales, the short time scales being related to a state of charge of the power system and the long time scales being related to a likelihood of failure of the power system; an inference engine utilizing the component model and sensor data including at least a temperature of the power system to make predictions about a state of charge of the power system and a likelihood of failure of the power system; and an action selection component that selects an action to mitigate a potential failure based on an output of the inference engine. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method for monitoring and predicting the condition of a power system of a remote vehicle, the method comprising:
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constructing a component model using power system modeling over both short and long time scales, the short time scales being related to a state of charge of the power system and the long time scales being related to a likelihood of failure of the power system; predicting, using a processor, a state of charge of the power system and a likelihood of failure of the power system based on the component model and sensor data including at least a temperature of the power system; and mitigating predicted potential failures of the power system by selecting an action to mitigate a potential failure. - View Dependent Claims (14, 15, 16)
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17. A method for monitoring and predicting the condition of a power system of a remote vehicle, the method comprising:
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constructing a component model using power system modeling over both short time scales and long time scales, the short time scales being related to a state of charge of the power system and the long time scales being related to a likelihood of failure of the power system; predicting, using a processor, a state of charge of the power system and a likelihood of failure of the power system based on the component model and sensor data including at least a temperature of the power system; and creating new data to improve prediction accuracy. - View Dependent Claims (18, 19, 20, 21)
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22. A method for informing a user regarding the condition of a power system of a remote vehicle, the method comprising:
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constructing a component model using power system modeling over both short time scales and long time scales, the short time scales being related to a state of charge of the power system and the long time scales being related to a likelihood of failure of the power system; predicting, using a processor, a state of charge of the power system and a likelihood of failure of the power system based on the component model and sensor data including at least a temperature of the power system; and displaying, to an operator of the remote vehicle, an identification of the power system, a predicted state of the power system, and a predicted likelihood of failure of the power system.
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Specification