Novelty detection systems, methods and computer program products for real-time diagnostics/prognostics in complex physical systems
First Claim
1. A diagnostic/prognostic system for a physical system comprising:
- a plurality of sensors that are configured to repeatedly monitor variables of the physical system during operation;
a first associative memory;
a novelty detection system that is responsive to the plurality of sensors and that is configured to repeatedly observe into the first associative memory, states of associations among the variables that are repeatedly monitored during a learning phase, that is further configured to thereafter imagine at least one state of associations among the variables that are monitored relative to the states of associations that are observed in the first associative memory, to identify a novel state of associations among the variables, and that is further configured to determine whether the novel state is indicative of normal operation or of a potential abnormal operation;
a second associative memory that includes therein associations of attributes of failure modes of the physical system; and
a failure mode learning system that is responsive to the novelty detection system and to the second associative memory and that is configured to imagine attributes of the novel state relative to the associations of attributes of failure modes of the physical system to identify and/or predict a potential failure mode of the physical system.
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Accused Products
Abstract
Sensors are configured to repeatedly monitor variables of a physical system during its operation. A novelty detection system is responsive to the sensors and is configured to repeatedly observe into an associative memory, states of associations among the variables that are repeatedly monitored, during a learning phase. The novelty detection system is further configured to thereafter observe at least one state of associations among the variables that are sensed relative to the states of associations that are in the associative memory, to identify a novel state of associations among the variables. The novelty detection system may determine whether the novel state is indicative of normal operation or of a potential abnormal operation. Multiple layers of learning for real-time diagnostics/prognostics also may be provided.
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Citations
17 Claims
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1. A diagnostic/prognostic system for a physical system comprising:
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a plurality of sensors that are configured to repeatedly monitor variables of the physical system during operation; a first associative memory; a novelty detection system that is responsive to the plurality of sensors and that is configured to repeatedly observe into the first associative memory, states of associations among the variables that are repeatedly monitored during a learning phase, that is further configured to thereafter imagine at least one state of associations among the variables that are monitored relative to the states of associations that are observed in the first associative memory, to identify a novel state of associations among the variables, and that is further configured to determine whether the novel state is indicative of normal operation or of a potential abnormal operation; a second associative memory that includes therein associations of attributes of failure modes of the physical system; and a failure mode learning system that is responsive to the novelty detection system and to the second associative memory and that is configured to imagine attributes of the novel state relative to the associations of attributes of failure modes of the physical system to identify and/or predict a potential failure mode of the physical system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A diagnostic/prognostic method of a physical system the includes a plurality of sensors that are configured to repeatedly monitor variables of the physical system during operation, the diagnostic/prognostic method comprising:
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repeatedly observing into a first associative memory, states of associations among the variables that are repeatedly monitored, during learning phase; imagining at least one state of associations among the variables that are monitored relative to the states of associations that are observed in the first associative memory to identify a novel state of associations among the variables; determining whether the novel state is indicative of normal operation or of a potential abnormal operation; and imagining attributes of the novel state relative to associations of attributes of failure modes of the physical system in a second associative memory to identify and/or predict a potential failure mode for the physical system. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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Specification