Gm Global Technolgoy Operations, Inc.

Basel Q Shadid

Pulak Bandyopadhyay

Leandro G Barajas

Jorge F Arinez

Guoxian Xiao

Srivatsan Laxman

P S Sastry

Ram Dwibhashyam

K P Unnikrishnan

Disclosed herein are a system, method and apparatus for reporting, making alerts and predicting fault codes generated by machines in a line. Historical fault code data is received and filtered according to particular criteria to generate filtered fault code data. Classification of the filtered fault code data into physical groups and into logical groups is followed by sorting the groups to produce fault trend data. Processing the fault trend data with a plurality of analyzers generates output including reports, alerts, and predictions of future fault code occurrences.

System and method for production system performance prediction

A method, system, and computer program product for fault data correlation in a diagnostic system are provided. The method includes receiving the fault data including a plurality of faults collected over a period of time, and identifying a plurality of episodes within the fault data, where each episode includes a sequence of the faults. The method further includes calculating a frequency of the episodes within the fault data, calculating a correlation confidence of the faults relative to the episodes as a function of the frequency of the episodes, and outputting a report of the faults with the correlation confidence.

Root cause diagnostics using temporal data mining

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St. Catherines, Canada

Basel Q Shadid