Online learning using information fusion for equipment predictive maintenance in railway operations
First Claim
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1. A system, comprising:
- a plurality of data sources configured to capture data related to components of an asset that is deployed at an operation site, the data sources comprising instrumentation that physically reside at the operation site and measure qualitative aspects of the components during operation of the asset and ambient conditions surrounding the asset at the operation site;
a computer processing device communicatively coupled to the plurality of data sources over a network; and
logic executable by the computer processing device, the logic configured to implement;
receiving the data from the plurality of data sources over the network;
storing the data in tables each corresponding to a respective component and one of a plurality of subjects of measurement, wherein a type of the instrumentation used is a function of the subject of measurement;
identifying common fields shared across the tables of each respective component; and
merging at least a portion of the data across the tables having the common fields into a final table for each respective component to producean integrated data model based on results of the merging.
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Abstract
An aspect of an online learning system includes collecting data, via a computer processing device, from a plurality of data sources including multiple disparate detectors, the data including at least one of historical alarm data, failures, maintenance records, and environment observations. The data is stored in tables each corresponding to a subject of measurement. The online learning system also includes identifying common fields shared across the tables, merging at least a portion of the data across the tables having the common fields, and creating an integrated data model based on results of the merging.
37 Citations
7 Claims
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1. A system, comprising:
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a plurality of data sources configured to capture data related to components of an asset that is deployed at an operation site, the data sources comprising instrumentation that physically reside at the operation site and measure qualitative aspects of the components during operation of the asset and ambient conditions surrounding the asset at the operation site; a computer processing device communicatively coupled to the plurality of data sources over a network; and logic executable by the computer processing device, the logic configured to implement; receiving the data from the plurality of data sources over the network; storing the data in tables each corresponding to a respective component and one of a plurality of subjects of measurement, wherein a type of the instrumentation used is a function of the subject of measurement; identifying common fields shared across the tables of each respective component; and merging at least a portion of the data across the tables having the common fields into a final table for each respective component to produce an integrated data model based on results of the merging. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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Specification