SYSTEMS AND METHODS FOR IMPROVED RELIABILITY OPERATIONS
First Claim
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1. A system comprising:
- a model library configured to model a safety system, wherein the model library comprises a plurality of subsystem models, and each of the plurality of subsystem models is configured to derive a reliability measure;
a fault tolerance input;
a maintenance policy input; and
a dynamic risk calculation engine (DRCE) configured to use a user-defined set of the plurality of subsystem models, the fault tolerance input, and the maintenance policy input, to derive a system risk for an apparatus.
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Abstract
A system may include a model library configured to model a safety system, wherein the model library comprises a plurality of subsystem models, and each of the plurality of subsystem models is configured to derive a reliability measure. The system further includes a fault tolerance input and a maintenance policy input. The system further includes a dynamic risk calculation engine (DRCE) configured to use a user-defined set of the plurality of subsystem models, the fault tolerance input and the maintenance policy input, to derive a system risk for an apparatus.
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Citations
20 Claims
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1. A system comprising:
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a model library configured to model a safety system, wherein the model library comprises a plurality of subsystem models, and each of the plurality of subsystem models is configured to derive a reliability measure; a fault tolerance input; a maintenance policy input; and a dynamic risk calculation engine (DRCE) configured to use a user-defined set of the plurality of subsystem models, the fault tolerance input, and the maintenance policy input, to derive a system risk for an apparatus. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16)
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13. A method comprising:
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predicting a plurality of state probabilities for a system based on a model library, wherein the model library comprises a plurality of subsystem models, and each of the plurality of subsystem models is configured to derive a reliability measure; computing a system probability of failure on demand (PFD); deriving an average PFD based on the system PFD; if an N-step ahead estimate of the average PFD exceeds a risk reduction factor (RRF), then commanding a proof test; and outputting a proof test schedule.
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17. A system comprising:
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a controller configured to control a machine system and to receive inputs from the machine system, wherein the controller comprises non-transitory machine readable instructions configured to; predict a plurality of state probabilities for a system based on a model library, wherein the model library comprises a plurality of subsystem models, and each of the plurality of subsystem models is configured to derive a reliability measure; compute a system probability of failure on demand (PFD); derive an average PFD based on the system PFD; if an N-step ahead estimate of the average PFD exceeds a risk reduction factor (RRF), then commanding a proof test; and output a proof test schedule. - View Dependent Claims (18, 19, 20)
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Specification