Invention Grant
- Patent Title: Automated method of identifying troubleshooting and system repair instructions using complementary machine learning models
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Application No.: US16503819Application Date: 2019-07-05
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Publication No.: US11294755B2Publication Date: 2022-04-05
- Inventor: Jeffrey S. Vah , Jimmy H. Wiggers , Ravi Shukla , Brian T. Martin , Nikhila Kambalapalli , M. Najam Mushtaq , Carlos F. Rodman , Brock A. Adams
- 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: Terrile, Cannatti & Chambers, LLP
- Agent Emmanuel A. Rivera
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F11/07 ; G06N20/00
Abstract:
A system, method, and computer-readable medium for performing a system failure repair operation, comprising: receiving information regarding symptoms related to a faulty device; storing the information with other historical information regarding the symptoms; receiving additional information as the faulty device is diagnosed; indicating whether a repair recommendation is provided for the faulty device; and using the stored information, historical information, and additional information to provide a repair recommendation if indicating shows no repair recommendation.
Public/Granted literature
Information query
