Invention Grant
- Patent Title: Feature selection and automated process window monitoring through outlier detection
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Application No.: US15248523Application Date: 2016-08-26
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Publication No.: US10365639B2Publication Date: 2019-07-30
- Inventor: Shabnam Ghadar , Sina Jahanbin , Himanshu Vajaria , Bradley Ries
- Applicant: KLA-Tencor Corporation
- Applicant Address: US CA Milpitas
- Assignee: KLA-Tencor Corporation
- Current Assignee: KLA-Tencor Corporation
- Current Assignee Address: US CA Milpitas
- Agency: Hodgson Russ LLP
- Main IPC: G05B19/408
- IPC: G05B19/408 ; G06N5/02 ; G05B19/418 ; H01L21/66 ; G06N20/00

Abstract:
Feature extraction and classification is used for process window monitoring. A classifier, based on combinations of metrics of masked die images and including a set of significant combinations of one or more segment masks, metrics, and wafer images, is capable of detecting a process non-compliance. A process status can be determined using a classifier based on calculated metrics. The classifier may learn from nominal data.
Public/Granted literature
- US20170192411A1 FEATURE SELECTION AND AUTOMATED PROCESS WINDOW MONITORING THROUGH OUTLIER DETECTION Public/Granted day:2017-07-06
Information query
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