Patents by Inventor Jeffrey E. Arbogast

Jeffrey E. Arbogast has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8524088
    Abstract: Scaling is controlled in a cooling water system with CO2 based upon measurements of the cooling water's pH, alkalinity and Ca2+concentration.
    Type: Grant
    Filed: October 1, 2012
    Date of Patent: September 3, 2013
    Assignee: American Air Liquide, Inc.
    Inventors: Jeffrey E. Arbogast, Meenakshi Sundaram, Daniel D. Duarte
  • Publication number: 20130026105
    Abstract: Scaling is controlled in a cooling water system with CO2 based upon measurements of the cooling water's pH, alkalinity and Ca2+ concentration.
    Type: Application
    Filed: October 1, 2012
    Publication date: January 31, 2013
    Applicant: American Air Liquide, Inc.
    Inventors: Daniel D. DUARTE, Meenakshi Sundaram, Jeffrey E. Arbogast
  • Publication number: 20120168358
    Abstract: Scaling is controlled in a cooling water system with CO2 based upon measurements of the cooling water's pH, alkalinity and Ca2+ concentration.
    Type: Application
    Filed: March 12, 2012
    Publication date: July 5, 2012
    Applicant: American Air Liquide, Inc.
    Inventors: Daniel D. DUARTE, Meenakshi Sundaram, Jeffrey E. Arbogast
  • Publication number: 20120150334
    Abstract: As described, a neural network based fault detection and analysis tool may be integrated with a physical (or semi physical) model based fault detection and analysis tool. The physical modeling tool provides a mathematical model of plant processes, e.g., a set of mass/energy balance equations modeling the systems at a specific plant. In contrast, the neural network develops a model of a given set of sensors from process data. One advantage of the neural network based tool is that it does not require fundamental knowledge of the process. However, the neural network is only valid for the conditions for which it was trained (i.e., conditions represented by a set of training data). Therefore, the neural network will occasionally need to be re-trained as the process conditions change. In contrast, the physical modeling tool based tool does not need to be retrained and remains valid for all process conditions accounted for in the fundamental models.
    Type: Application
    Filed: December 10, 2010
    Publication date: June 14, 2012
    Applicant: L'Air Liquide Societe Anonyme Pour L'Etude Et L'Exploitation Des Procedes Georges Claude
    Inventor: Jeffrey E. Arbogast
  • Patent number: 8153010
    Abstract: Scaling is controlled in a cooling water system with CO2 based upon measurements of the cooling water's pH, alkalinity and Ca2+ concentration.
    Type: Grant
    Filed: January 12, 2009
    Date of Patent: April 10, 2012
    Assignee: American Air Liquide, Inc.
    Inventors: Daniel D. Duarte, Meenakshi Sundaram, Jeffrey E. Arbogast
  • Publication number: 20100176060
    Abstract: Scaling is controlled in a cooling water system with CO2 based upon measurements of the cooling water's pH, alkalinity and Ca2+ concentration.
    Type: Application
    Filed: January 12, 2009
    Publication date: July 15, 2010
    Inventors: Daniel D. DUARTE, Meenakshi SUNDARAM, Jeffrey E. Arbogast