Aging profiling engine for physical systems
First Claim
1. A method for managing components of physical systems,comprising:
- decomposing raw time series by extracting an aging trend and a fluctuation term from the time series using an objective function of an optimization problem, the objective function minimizing reconstruction error and ensuring flatness of the fluctuation term over time;
transforming the optimization problem into a Quadratic Programming (QP) formulation including a monotonicity constraint and a non-negativity constraint, the transforming reducing processing requirements and increasing optimization speed by merging the constraints together prior to solving the optimization problem;
generating an aging score and a confidence score for the extracted aging trend to determine a severeness of aging for one or more components of the physical system;
fusing the aging score and confidence score to provide a fused ranking for the extracted aging trend for predicting future failures of the components, andpreventing failure of the physical systems by disabling lower ranked, aged components and rerouting tasks to higher-ranked, less-aged components based on the fused ranking.
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Abstract
Systems and methods for managing components of physical systems, including decomposing raw time series by extracting an aging trend and a fluctuation term from the time series using an objective function of an optimization problem, the objective function minimizing reconstruction error and ensuring flatness of the fluctuation term over time. The optimization problem is transformed into a Quadratic Programming (QP) formulation including a monotonicity constraint and a non-negativity constraint, the constraints being merged together to reduce computational costs. An aging score and a confidence score are generated for the extracted aging trend to determine a severeness of aging for one or more components of the physical system, and the aging score and confidence score are fused to provide a fused ranking for the extracted aging trend for predicting future failures of the components.
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Citations
16 Claims
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1. A method for managing components of physical systems,
comprising: -
decomposing raw time series by extracting an aging trend and a fluctuation term from the time series using an objective function of an optimization problem, the objective function minimizing reconstruction error and ensuring flatness of the fluctuation term over time; transforming the optimization problem into a Quadratic Programming (QP) formulation including a monotonicity constraint and a non-negativity constraint, the transforming reducing processing requirements and increasing optimization speed by merging the constraints together prior to solving the optimization problem; generating an aging score and a confidence score for the extracted aging trend to determine a severeness of aging for one or more components of the physical system; fusing the aging score and confidence score to provide a fused ranking for the extracted aging trend for predicting future failures of the components, and preventing failure of the physical systems by disabling lower ranked, aged components and rerouting tasks to higher-ranked, less-aged components based on the fused ranking. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. An aging profiling engine for managing components of physical systems, comprising:
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a time series transformer for decomposing raw time series by extracting an aging trend and a fluctuation term from the time series using an objective function of an optimization problem, the objective function minimizing reconstruction error and ensuring flatness of the fluctuation term over time; an optimizer for transforming the optimization problem into a Quadratic Programming (QP) formulation including a monotonicity constraint and a non-negativity constraint, the transforming reducing processing requirements and increasing optimization speed by merging the constraints together prior to solving the optimization problem; one or more score generators for generating an aging score and a confidence score for the extracted aging trend to determine a severeness of aging for one or more components of the physical system; a ranker configured to fuse the aging score and confidence score to provide a fused ranking for the extracted aging trend for predicting future failures of the components, and a controller for preventing failure of the physical systems by disabling lower ranked, aged components and rerouting tasks to higher-ranked, less-aged components based on the fused ranking. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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Specification