Patent №
US 6,895,293
Granted
2005-05-17
Filed 2001
Owner
APPLIED MATERIALS, INC. A CORPORATION OF THE STATE OF DELAWARE
Lab
—
AI components
4
ml · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09833516
Fault detection of a semiconductor processing tool employs several techniques to improve accuracy. One technique is sensor grouping, wherein a fault detection index is calculated from a group of tool operational parameters that correlate with one another. Another technique is sensor ranking, wherein sensors are accorded different weights in calculating the fault detection index. Improved accuracy in fault detection may be accomplished by employing a variety of sensor types to predict behavior of the semiconductor processing tool. Examples of such sensor types include active sensors, cluster sensors, passive/inclusive sensors, and synthetic sensors.
AI classification
Ownership
APPLIED MATERIALS, INC. A CORPORATION OF THE STATE OF DELAWARE
assignment · 117300895
Assignors
REISS, TERRY, LYMBEROPOULOS, DIMITRIS P.
On an employer assignment, the assignors are typically the inventors.