Method for computing the relative likelihood of failures
First Claim
1. A method for determining relative likelihood of a failure mode, the method comprising:
- receiving evidence observations of a monitored system from monitors connected in a many-to-many relationship to the failure modes;
generating a fault condition including states of all failure modes that are connected to the monitors, the fault condition being generated for a reference model of the monitored system based on the received evidence observations; and
computing a relative probability of failure for each failure mode based on a false alarm probability, a detection probability, and a ratio of prior probabilities of a candidate hypothesis to a null hypothesis of no active failure modes.
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Abstract
A method for determining relative likelihood of a failure mode is provided. The method comprises receiving evidence observations of a monitored system from monitors connected in a many-to-many relationship to the failure modes, generating a fault condition including states of all failure modes that are connected to the monitors, and computing a relative probability of failure for each failure mode. The fault condition is generated for a reference model of the monitored system and is based on the received evidence observations. The relative probability of failure for each failure mode is based on a false alarm probability, a detection probability, and a ratio of prior probabilities of a candidate hypothesis to a null hypothesis of no active failure mode.
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Citations
16 Claims
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1. A method for determining relative likelihood of a failure mode, the method comprising:
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receiving evidence observations of a monitored system from monitors connected in a many-to-many relationship to the failure modes; generating a fault condition including states of all failure modes that are connected to the monitors, the fault condition being generated for a reference model of the monitored system based on the received evidence observations; and computing a relative probability of failure for each failure mode based on a false alarm probability, a detection probability, and a ratio of prior probabilities of a candidate hypothesis to a null hypothesis of no active failure modes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer readable medium storing instructions to implement a method to:
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generate a fault condition including states of all failure modes that are connected to the monitors, the fault condition being generated for a reference model of a monitored system based on evidence observations received from monitors; and compute a relative probability of failure for each failure mode based on a false alarm probability, a detection probability, and a ratio of prior probabilities of a candidate hypothesis to a null hypothesis of no active failure modes. - View Dependent Claims (10, 11)
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12. A health management system configured to determine relative probabilities of failure in a monitored system, the health management system comprising:
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sensors to monitor system states and to output evidence observations; and at least one processor configured to;
generate a fault condition including states of all failure modes that are connected to the sensors based on the evidence observations received from the sensors for a reference model of the monitored system; and
execute algorithms configured to compute a relative probability of failure for each failure mode based on a false alarm probability, a detection probability, and a ratio of prior probabilities of a candidate hypothesis to a null hypothesis of no active failure modes. - View Dependent Claims (13, 14, 15, 16)
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Specification