Subsystem Health Score
First Claim
Patent Images
1. A computing system comprising:
- at least one processor;
a non-transitory computer-readable medium; and
program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to;
identify at least one abnormal-condition indicator associated with a given subsystem of an asset;
based on the identified at least one abnormal-condition indicator, identify a subset of historical operating data for a plurality of assets, wherein the historical operating data comprises (i) historical abnormal-condition data associated with one or more failures that occurred at the plurality of assets in the past and (ii) historical sensor data indicating operating conditions of the plurality of assets in the past;
based on the identified subset of the historical operating data, define a predictive model for outputting a health metric indicating whether at least one failure from a group of failures is likely to occur at the given subsystem within a given period of time in the future;
receive sensor data indicating at least one operating condition of a given asset;
based on the received sensor data, execute the predictive model to determine, for the given asset, a health metric indicating whether at least one failure from the group of failures is likely to occur at the given subsystem within the given period of time in the future; and
transmit, to a computing device, health-metric data indicating the determined health metric for the given asset to facilitate causing the computing device to display a representation of the determined health metric for the given asset.
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Accused Products
Abstract
Disclosed herein are systems, devices, and methods related to assets and asset operating conditions. In particular, examples involve defining and executing predictive models for outputting health metrics that estimate the operating health of an asset or a part thereof, analyzing health metrics to determine variables that are associated with high health metrics, and modifying the handling of abnormal-condition indicators in accordance with a prediction of a likely response to such abnormal-condition indicators, among other examples.
18 Citations
20 Claims
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1. A computing system comprising:
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at least one processor; a non-transitory computer-readable medium; and program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to; identify at least one abnormal-condition indicator associated with a given subsystem of an asset; based on the identified at least one abnormal-condition indicator, identify a subset of historical operating data for a plurality of assets, wherein the historical operating data comprises (i) historical abnormal-condition data associated with one or more failures that occurred at the plurality of assets in the past and (ii) historical sensor data indicating operating conditions of the plurality of assets in the past; based on the identified subset of the historical operating data, define a predictive model for outputting a health metric indicating whether at least one failure from a group of failures is likely to occur at the given subsystem within a given period of time in the future; receive sensor data indicating at least one operating condition of a given asset; based on the received sensor data, execute the predictive model to determine, for the given asset, a health metric indicating whether at least one failure from the group of failures is likely to occur at the given subsystem within the given period of time in the future; and transmit, to a computing device, health-metric data indicating the determined health metric for the given asset to facilitate causing the computing device to display a representation of the determined health metric for the given asset. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A non-transitory computer-readable medium having instructions stored thereon that are executable to cause a computing system to:
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identify at least one abnormal-condition indicator associated with a given subsystem of an asset; based on the identified at least one abnormal-condition indicator, identify a subset of historical operating data for a plurality of assets, wherein the historical operating data comprises (i) historical abnormal-condition data associated with one or more failures that occurred at the plurality of assets in the past and (ii) historical sensor data indicating operating conditions of the plurality of assets in the past; based on the identified subset of the historical operating data, define a predictive model for outputting a health metric indicating whether at least one failure from a group of failures is likely to occur at the given subsystem within a given period of time in the future; receive sensor data indicating at least one operating condition of a given asset; based on the received sensor data, execute the predictive model to determine, for the given asset, a health metric indicating whether at least one failure from the group of failures is likely to occur at the given subsystem within the given period of time in the future; and transmit, to a computing device, health-metric data indicating the determined health metric for the given asset to facilitate causing the computing device to display a representation of the determined health metric for the given asset. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A computer-implemented method, the method comprising:
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identifying at least one abnormal-condition indicator associated with a given subsystem of an asset; based on the identified at least one abnormal-condition indicator, identifying a subset of historical operating data for a plurality of assets, wherein the historical operating data comprises (i) historical abnormal-condition data associated with one or more failures that occurred at the plurality of assets in the past and (ii) historical sensor data indicating operating conditions of the plurality of assets in the past; based on the identified subset of the historical operating data, defining a predictive model for outputting a health metric indicating whether at least one failure from a group of failures is likely to occur at the given subsystem within a given period of time in the future; receiving sensor data indicating at least one operating condition of a given asset; based on the received sensor data, executing the predictive model to determine, for the given asset, a health metric indicating whether at least one failure from the group of failures is likely to occur at the given subsystem within the given period of time in the future; and transmitting, to a computing device, health-metric data indicating the determined health metric for the given asset to facilitate causing the computing device to display a representation of the determined health metric for the given asset. - View Dependent Claims (19, 20)
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Specification