Fault splitting algorithm
First Claim
1. A method for splitting a fault condition based on a relative likelihood of the failure modes, the method comprising:
- receiving, in a processor, evidence observations of a monitored system from monitors connected in a many-to-many relationship to the failure modes; and
in the processor;
generating a fault condition comprising states of all failure modes for a reference model of the monitored system based on the evidence observations;
computing a relative probability of failure for each failure mode in the fault condition, the relative probability being 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;
when there is more than one failure mode in the fault condition, computing a relative probability of each pair of failure modes in the fault condition, the relative probability being 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;
ranking the computed relative probabilities of the individual failure modes and the computed relative probabilities of the pairs of failure modes;
if the highest ranked failure mode is a pair of failure modes, splitting the fault condition based on the failure modes in the highest ranked pair of failure modes; and
if the highest ranked failure mode is an individual failure mode, isolating a failure based on the ranking.
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Accused Products
Abstract
The present application relates to a method of splitting a fault condition including receiving evidence observations of a monitored system from monitors connected in a many-to-many relationship to the failure modes, generating a fault condition, computing a relative probability of failure for each failure mode in the fault condition. When there is more than one failure mode in the fault condition, the method includes computing a relative probability of each pair of failure modes in the fault condition, ranking the computed relative probabilities of the individual failure modes and the computed relative probabilities of the pairs of failure modes. If the highest ranked failure mode is a pair of failure modes, the fault condition is split based on the failure modes in the highest ranked pair of failure modes are split. If the highest ranked failure mode is an individual failure mode, a failure is isolated based on the ranking.
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Citations
14 Claims
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1. A method for splitting a fault condition based on a relative likelihood of the failure modes, the method comprising:
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receiving, in a processor, evidence observations of a monitored system from monitors connected in a many-to-many relationship to the failure modes; and in the processor; generating a fault condition comprising states of all failure modes for a reference model of the monitored system based on the evidence observations; computing a relative probability of failure for each failure mode in the fault condition, the relative probability being 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; when there is more than one failure mode in the fault condition, computing a relative probability of each pair of failure modes in the fault condition, the relative probability being 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; ranking the computed relative probabilities of the individual failure modes and the computed relative probabilities of the pairs of failure modes; if the highest ranked failure mode is a pair of failure modes, splitting the fault condition based on the failure modes in the highest ranked pair of failure modes; and if the highest ranked failure mode is an individual failure mode, isolating a failure based on the ranking. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A health management system configured to split a fault condition based on a relative likelihood of a failure mode in a monitored system, the health management system comprising:
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sensors to detect system states and to output evidence observations; at least one processor; and a storage medium to store software executable by the at least one processor, the at least one processor configured to; generate a fault condition including states of all failure modes that are connected to the monitors based on the evidence observations received from the sensors for a reference model of the monitored system; 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; and split the fault condition when additional evidence is received to indicate that a given fault condition includes two failure modes by; ranking the computed relative probabilities of the individual failure modes and the computed relative probabilities of the pairs of failure modes; if the highest ranked failure mode is a pair of failure modes, split the fault condition based on the failure modes in the highest ranked pair of failure modes; and if the highest ranked failure mode is the individual failure mode, isolate a failure based on the ranking. - View Dependent Claims (12, 13, 14)
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Specification