Patents Assigned to Ibex Process Technology, Inc.
  • Intelligent modelling of process and tool health
    Patent number: 7020569
    Abstract: The health of a tool is predicted based on temporally ordered input data representing parameters indicative of tool health. A sliding time window is used to partition input data into temporally displaced data sets. Non-linear regression models determine, based on the data sets, a set of predictive values relating to tool health at a future time. A tool-health metric is then determined based on one or more of the predictive values.
    Type: Grant
    Filed: March 15, 2004
    Date of Patent: March 28, 2006
    Assignee: Ibex Process Technology, Inc.
    Inventors: An Cao, Wai T. Chan, Jill P. Card
  • Intelligent control for process optimization and parts maintenance
    Patent number: 6970857
    Abstract: Complex process control and maintenance are performed utilizing a nonlinear regression analysis to determine optimal maintenance activities and process adjustments based on an urgency metric.
    Type: Grant
    Filed: September 5, 2003
    Date of Patent: November 29, 2005
    Assignee: Ibex Process Technology, Inc.
    Inventors: Jill P. Card, Wai T. Chan, An Cao
  • Advance failure prediction
    Patent number: 6915173
    Abstract: Failure prediction for complex processes is performed utilizing one or more nonlinear regression models to relate operational variable values measured at two or more times to predicted process metric values and maintenance variable values.
    Type: Grant
    Filed: August 21, 2003
    Date of Patent: July 5, 2005
    Assignee: Ibex Process Technology, Inc.
    Inventors: Wai T. Chan, Edward A. Reitman, Jill P. Card
  • Large scale process control by driving factor identification
    Patent number: 6904328
    Abstract: Systems and methods of complex process control utilize driving factor identification based on nonlinear regression models and process step optimization. In one embodiment, the invention provides a method for generating a system model for a complex process comprised of nonlinear regression models for two or more select process steps of the process where process steps are selected for inclusion in the system model based on a sensitivity analysis of an initial nonlinear regression model of the process to evaluate driving factors of the process.
    Type: Grant
    Filed: September 13, 2002
    Date of Patent: June 7, 2005
    Assignee: Ibex Process Technology, Inc.
    Inventors: Edward A. Rietman, Jill P. Card
  • Scalable, hierarchical control for complex processes
    Patent number: 6810291
    Abstract: The present invention provides a method and system for complex process optimization utilizing metrics, operational variables, or both, of one or more process steps and optimization of one or more of these process step parameters with respect to a cost function for the parameter. In one embodiment, the invention provides a scalable, hierarchical optimization method utilizing optimizations at one process level as inputs to an optimization of a higher or lower process level.
    Type: Grant
    Filed: September 13, 2002
    Date of Patent: October 26, 2004
    Assignee: Ibex Process Technology, Inc.
    Inventors: Jill P. Card, Edward A. Rietman
  • Supervised learning in the presence of null data
    Publication number: 20040076944
    Abstract: Non-linear regression models are configured and trained to operate in connection with data sets having null (unknown) values.
    Type: Application
    Filed: August 21, 2003
    Publication date: April 22, 2004
    Applicant: Ibex Process Technology, Inc.
    Inventors: Wai T. Chan, Edward A. Reitman
  • Filter models for dynamic control of complex processes
    Publication number: 20040039556
    Abstract: Non-linear regression models of a complex process and methods of modeling a complex process feature a filter based on a function of an input variable, the output of which is a predictor of the output of the complex process.
    Type: Application
    Filed: August 22, 2003
    Publication date: February 26, 2004
    Applicant: Ibex Process Technology, Inc.
    Inventors: Wai T. Chan, Jill P. Card, An Cao
  • Control of complex manufacturing processes using continuous process data
    Publication number: 20040019470
    Abstract: Complex process prediction and optimization are performed utilizing an orthogonal transform to represent time-varying continuous signals as discrete values, which are then subjected to a nonlinear regression analysis to relate between the discrete values and process metrics.
    Type: Application
    Filed: July 17, 2003
    Publication date: January 29, 2004
    Applicant: Ibex Process Technology, Inc.
    Inventors: Jill P. Card, Wai T. Chan, An Cao