- Patent Title: Systems and methods for predicting information handling resource failures using deep recurrent neural network with a modified gated recurrent unit having missing data imputation
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Application No.: US16528081Application Date: 2019-07-31
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Publication No.: US11227209B2Publication Date: 2022-01-18
- Inventor: Ashutosh Singh , Landon Martin Chambers
- Applicant: Dell Products L.P.
- Applicant Address: US TX Round Rock
- Assignee: Dell Products L.P.
- Current Assignee: Dell Products L.P.
- Current Assignee Address: US TX Round Rock
- Agency: Jackson Walker L.L.P.
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06F11/00 ; G06N3/08
Abstract:
A method may include receiving telemetry data associated with one or more information handling resources, receiving failure statistics associated with the one or more information handling resources, merging the telemetry data and the failure statistics to create training data, and implementing a gated recurrent unit to: (i) impute missing values from the training data and (ii) train a pattern recognition engine configured to predict a failure status of an information handling resource from operational data associated with the information handling resource.
Public/Granted literature
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