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OwnerPhillip Ellsworth Stahlfeld, Leo Francis Casey +5inventors
InventorsPhillip Ellsworth Stahlfeld, Leo Francis Casey, Xinyue Li, Gaurav Desai, Ananya Gupta, Aviva Cheryl Shwaid, Laura Elizabeth Fedoruk
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Methods, systems, and apparatus, including medium-encoded computer program products, for predicting electrical component failure. A first sensor measurement of a component of an electrical grid taken at a first time can be obtained. A second sensor measurement of the component taken at a second time can be identified, and the second time can be after the first time. An input, which can include the first sensor measurement and the second sensor measurement, can be processed using a machine learning model that is configured to generate, based on one or more changes in one or more characteristics of the component as depicted in the second sensor measurement compared to the first sensor measurement, a prediction representative of a likelihood that the component will experience a type of failure during a time interval. Data indicating the prediction can be provided for presentation by a display.
An electrical grid asset failure prediction method comprising:
A system comprising one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to perform operations comprising:
One or more non-transitory computer-readable storage media storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:
Dependencies are inferred from the claim text.