DETECTING ANOMALIES IN FIELD FAILURE DATA

Patent №

US 9,740,993

Granted

2017-08-22

Filed 2009

Owner

GM GLOBAL TECHNOLOGY OPERATIONS, INC.

Lab

AI components

2

kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12630866

A method of detecting anomalies in the service repairs data of equipment. A failure mode-symptom correlation matrix correlates failure modes to symptoms. Diagnostic trouble codes are collected for an actual repair for the equipment. The diagnostic trouble codes are provided to a diagnostic reasoner for identifying failure modes. Diagnostic assessment is applied by the diagnostic reasoner for determining the recommended repairs to perform on the equipment in response to identifying the failure modes. Each of the recommended repairs is compared with the actual repair used to repair the equipment. A mismatch is identified in response to any recommended repair not matching the actual repair. Reports are generated for displaying all of the identified mismatches. The reports are analyzed for determining repair codes having an increase in a number of anomalies. Service centers are alerted of a correct repair for the identified failure mode.

Knowledge representationPlanningG06Q 10/06G06F 11/079G06Q 10/0639G06Q 10/20G07C 5/0808

AI classification

Planning1.00
Knowledge representation1.00
AI hardware0.14
Evolutionary computation0.03
Natural language0.02
Vision0.01
Machine learning0.00
Speech0.00

Ownership

GM GLOBAL TECHNOLOGY OPERATIONS, INC.

assignment · 236100318

From the same owner

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