Jeffrey E Arbogast

US Patent:

8153010, Apr 10, 2012

Filed:

Jan 12, 2009

Appl. No.:

12/352345

Inventors:

Daniel D. Duarte - Newark DE, US
Meenakshi Sundaram - Newark DE, US
Jeffrey E. Arbogast - Newark DE, US

Assignee:

American Air Liquide, Inc. - Fremont CA

International Classification:

C02F 5/08

US Classification:

210696, 210739, 210743

Abstract:

Scaling is controlled in a cooling water system with CO2 based upon measurements of the cooling water's pH, alkalinity and Ca concentration.

US Patent:

8524088, Sep 3, 2013

Filed:

Oct 1, 2012

Appl. No.:

13/632955

Inventors:

Jeffrey E. Arbogast - Newark DE, US
Meenakshi Sundaram - Newark DE, US
Daniel D. Duarte - Newark DE, US

Assignee:

American Air Liquide, Inc. - Fremont CA

International Classification:

C02F 5/00

US Classification:

210696, 137 3, 137 93, 210739, 210743, 422 14, 422 62, 422107, 700266, 700276

Abstract:

Scaling is controlled in a cooling water system with CO2 based upon measurements of the cooling water's pH, alkalinity and Caconcentration.

US Patent:

20120150334, Jun 14, 2012

Filed:

Dec 10, 2010

Appl. No.:

12/965302

Inventors:

Jeffrey E. Arbogast - Townsend DE, US

Assignee:

L'Air Liquide Societe Anonyme Pour L'Etude Et L'Exploitation Des Procedes Georges Claude - Paris

International Classification:

G06F 19/00

US Classification:

700110

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.

US Patent:

20120168358, Jul 5, 2012

Filed:

Mar 12, 2012

Appl. No.:

13/417586

Inventors:

Daniel D. DUARTE - Newark DE, US
Meenakshi Sundaram - Newark DE, US
Jeffrey E. Arbogast - Newark DE, US

Assignee:

American Air Liquide, Inc. - Fremont CA

International Classification:

C02F 5/08
G05B 19/05

US Classification:

210 961

Abstract:

Scaling is controlled in a cooling water system with CO2 based upon measurements of the cooling water's pH, alkalinity and Ca concentration.