DocumentCode
958035
Title
An Unsupervised Diagnosis for Process Tool Fault Detection: The Flexible Golden Pattern
Author
Lacaille, Jérôme ; Zagrebnov, Maxim
Author_Institution
PDF Solutions, Montpellier, France
Volume
20
Issue
4
fYear
2007
Firstpage
355
Lastpage
363
Abstract
The flexible golden pattern (FGP) algorithm uses a patented technology of empirical scoring to detect abnormal behavior for semiconductor processing equipment or a specific processing chamber during wafer production. This algorithm does not entirely rely on manual extraction of features from data acquired on each tool. It is able to automatically select good pattern indicators from raw (temporal) signal traces. It is able to diagnose unusual behavior disregarding specificity proper to a recipe or even a chamber or even a tool if the algorithm is calibrated for such a purpose. The algorithm does not need any complicated parameter settings; the diagnosis is established by comparison of the normal process behavior to the abnormal one.
Keywords
fault location; feature extraction; semiconductor technology; abnormal behavior detection; empirical scoring; feature extraction; flexible golden pattern; process tool fault detection; semiconductor processing equipment; specific processing chamber; unsupervised fault diagnosis; wafer production; Algorithm design and analysis; Control charts; Data mining; Degradation; Fault detection; Fault diagnosis; Feature extraction; Pattern analysis; Process control; Production; Adaptive algorithm; compression; diagnostic; reconstruction; score; tube envelopes;
fLanguage
English
Journal_Title
Semiconductor Manufacturing, IEEE Transactions on
Publisher
ieee
ISSN
0894-6507
Type
jour
DOI
10.1109/TSM.2007.907608
Filename
4369342
Link To Document