Automated method of identifying troubleshooting and system repair instructions using complementary machine learning models

Automated method of identifying troubleshooting and system repair instructions using complementary machine learning models

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...

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Hauptverfasser: Adams, Brock A, Rodman, Carlos F, Vah, Jeffrey S, Wiggers, Jimmy H, Mushtaq, M. Najam, Shukla, Ravi, Kambalapalli, Nikhila, Martin, Brian T
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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creator Adams, Brock A
Rodman, Carlos F
Vah, Jeffrey S
Wiggers, Jimmy H
Mushtaq, M. Najam
Shukla, Ravi
Kambalapalli, Nikhila
Martin, Brian T
description 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.
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Automated method of identifying troubleshooting and system repair instructions using complementary machine learning models
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