Detection of anomalies in multivariate data
First Claim
1. A computing device comprising:
- a network interface;
at least one processor;
a non-transitory computer-readable medium; and
program instructions stored on the non-transitory computer-readable medium that, when executed by the at least one processor, cause a computing device to;
receive, via the network interface, multivariate data in an original coordinate space having a number of dimensions equal to the number of variables included in the multivariate data, wherein the multivariate data relates to operation of an asset;
transform the received multivariate data from the original coordinate space to a transformed coordinate space having fewer dimensions than the original coordinate space;
standardize the data in the transformed coordinate space;
modify the standardized data in the transformed coordinate space based on a set of threshold values, wherein the set of threshold values are defined based on training data reflective of normal asset operation;
inversely transform the modified data from the transformed coordinate space to the original coordinate space; and
analyze the inversely-transformed data in the original coordinate space to identify anomalies in the multivariate data that are indicative of a potential problem at the asset.
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Abstract
Disclosed herein are systems, devices, and methods for detecting anomalies in multivariate data received from an asset-related data source, such as signal data and/or other data from an asset. According to an example, a platform may receive multivariate data from an asset in an original coordinate space and transform the data in the original coordinate space to a transformed coordinate space having a relatively fewer number of dimensions. Additionally, the platform may standardize the data in the transformed coordinate space and modify the standardized data based on a comparison between the standardized data and a set of threshold values previously defined via training data reflective of normal asset operation. Thereafter, the platform may inversely transform the modified data back to the original coordinate space and perform an analysis to detect anomalies.
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Citations
20 Claims
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1. A computing device comprising:
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a network interface; at least one processor; a non-transitory computer-readable medium; and program instructions stored on the non-transitory computer-readable medium that, when executed by the at least one processor, cause a computing device to; receive, via the network interface, multivariate data in an original coordinate space having a number of dimensions equal to the number of variables included in the multivariate data, wherein the multivariate data relates to operation of an asset; transform the received multivariate data from the original coordinate space to a transformed coordinate space having fewer dimensions than the original coordinate space; standardize the data in the transformed coordinate space; modify the standardized data in the transformed coordinate space based on a set of threshold values, wherein the set of threshold values are defined based on training data reflective of normal asset operation; inversely transform the modified data from the transformed coordinate space to the original coordinate space; and analyze the inversely-transformed data in the original coordinate space to identify anomalies in the multivariate data that are indicative of a potential problem at the asset. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer-readable medium having program instructions stored thereon that are executable to cause a computing system to:
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receive multivariate data in an original coordinate space having a number of dimensions equal to the number of variables included in the multivariate data, wherein the multivariate data relates to operation of an asset; transform the received multivariate data from the original coordinate space to a transformed coordinate space having fewer dimensions than the original coordinate space; standardize the data in the transformed coordinate space; modify the standardized data in the transformed coordinate space based on a set of threshold values, wherein the set of threshold values are defined based on training data reflective of normal asset operation; inversely transform the modified data from the transformed coordinate space to the original coordinate space; and analyze the inversely-transformed data in the original coordinate space to identify anomalies in the multivariate data that are indicative of a potential problem at the asset. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A computer-implemented method, the method comprising
receiving multivariate data in an original coordinate space having a number of dimensions equal to the number of variables included in the multivariate data, wherein the multivariate data relates to operation of an asset; -
transforming the received multivariate data from the original coordinate space to a transformed coordinate space having fewer dimensions than the original coordinate space; standardizing the data in the transformed coordinate space; modifying the standardized data in the transformed coordinate space based on a set of threshold values, wherein the set of threshold values are defined based on training data reflective of normal asset operation; inversely transforming the modified data from the transformed coordinate space to the original coordinate space; and analyzing the inversely-transformed data in the original coordinate space to identify anomalies in the multivariate data that are indicative of a potential problem at the asset. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification