Patent ID: 11860973
Assignee: APPLIED MATERIALS, INC.
Field: Semiconductors (Electrical engineering)
Classification: CPC G  H  C  B | IPC G  H

Claim 15:
16. A method for monitoring deposition build-up in a foreline of a processing system, comprising:
receiving sensor data from one or more sensors coupled to a foreline of a processing system;
processing the sensor data with a trained machine learning model to estimate a build-up, wherein the trained ML model is trained via a process comprising:
receiving sensor training data from prior operation of one or more processing systems;
classifying the sensor training data to differentiate between a clean surface of the foreline and a deposition thickness of a material deposited on the foreline; and
generating model parameters for the trained machine learning model based on the classifying; and

triggering a corrective action corresponding to the estimated build-up of the trained machine learning model.