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FDC R2R variation monitoring for sensor level diagnosis in tool condition hierarchy

Tool behavior modeling and diagnosis is a big challenge in modern semiconductor fabrication, in particular for the foundry and analog companies with high product-mix and complicated technology nodes. Tool condition monitoring has been practiced by implementing the FDC (Fault Detection and Classifica...

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Main Authors: Blue, Jakey, Roussy, Agnes, Pinaton, Jacques
Format: Conference Proceeding
Language:English
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Roussy, Agnes
Pinaton, Jacques
description Tool behavior modeling and diagnosis is a big challenge in modern semiconductor fabrication, in particular for the foundry and analog companies with high product-mix and complicated technology nodes. Tool condition monitoring has been practiced by implementing the FDC (Fault Detection and Classification) system and analyzing large amount of real-time equipment data. This paper continues the work of tool condition hierarchy, where the excursions can be detected in one single overall tool indicator and are intuitively drilled down to the level of sensor groups. A R2R (Run-to-Run) variation monitoring technique is developed in order to correlate the tool faults with single sensor and thus completes the diagnostic gap of the hierarchy. The tool condition monitoring then becomes efficient and tool fault diagnosis can be systematically top-down.
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identifier ISSN: 1078-8743
ispartof 25th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC 2014), 2014, p.92-97
issn 1078-8743
2376-6697
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subjects Condition monitoring
Fault diagnosis
FDC
FDC profile synchronization
Monitoring
Production
recipe grouping
run-to-run variation
SPC
Synchronization
Temperature sensors
tool condition hierarchy
tool fault diagnosis
title FDC R2R variation monitoring for sensor level diagnosis in tool condition hierarchy
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