公开(公告)号：US20240295536A1

公开(公告)日：2024-09-05

申请号：US18116174

申请日：2023-03-01

Applicant: General Electric Company

Inventor： Radislav Alexandrovich Potyrailo ,  Janell Marie Crowder ,  Richard St. Pierre ,  Baokai Cheng

IPC: G01N33/00

CPC classification number: G01N33/0073 ,  G01N33/0006 ,  G01N33/0062 ,  G01N33/0068

Abstract: A sensor device may include an electrochemical (EC) gas sensor, a metal-oxide semiconductor (MOS) gas sensor, and control circuitry. The control circuitry may provide EC excitation signals to the EC gas sensor, provide at least two MOS excitation signals to the MOS gas sensor, and detect at least two gases. The control circuitry may detect the gases based on receiving EC response signals from the at least one EC gas sensor based on providing the EC excitation signals, receiving MOS response signals from the MOS gas sensor based on providing the MOS excitation signals, determining a multivariate response pattern based on the EC response signals and the MOS response signals, and differentiating between the at least two gases in contact with the sensor device based on the multivariate response pattern.

公开(公告)号：US20240011934A1

公开(公告)日：2024-01-11

申请号：US17859921

申请日：2022-07-07

Applicant: General Electric Company

Inventor： Radislav Alexandrovich Potyrailo ,  Baokai Cheng ,  Janell Marie Crowder

IPC: G01N27/404 ,  G01N27/413

CPC classification number: G01N27/404 ,  G01N27/413

Abstract: An electrochemical gas sensor for multi-gas analysis of a fluid sample includes an electrochemical gas sensing element and a data collection component. The data collection component is configured to cycle the electrochemical gas sensing element between first excitation and signal detection values and second excitation and signal detection values at a predetermined time constant, and to measure responses of the electrochemical gas sensor to the fluid sample at the first excitation and signal detection values and the second excitation and signal detection values wherein the responses of the electrochemical gas sensor to the fluid sample at the first excitation and signal detection values and the second excitation and signal detection values are indicative of identities, respective concentrations, or a combination thereof, of at least two analyte gases of the fluid sample.

公开(公告)号：US20240011900A1

公开(公告)日：2024-01-11

申请号：US17859904

申请日：2022-07-07

Applicant: General Electric Company

Inventor： Radislav Alexandrovich Potyrailo ,  Baokai Cheng ,  Aghogho Atemu Obi ,  Christopher Collazo-Davila ,  Richard Jean-Luc St. Pierre

IPC: G01N21/3504 ,  G01N33/00

CPC classification number: G01N21/3504 ,  G01N33/0006 ,  G01N2201/0221

Abstract: Gas sensors are disclosed having an on-board, low-power data processor that uses multivariable gas classification and/or gas quantitation models to perform on-board data processing to resolve two or more gases in a fluid sample. To reduce computational complexity, the gas sensor utilizes low-power-consumption multivariable data analysis algorithms, inputs from available on-board sensors of ambient conditions, inputs representing contextual data, and/or excitation responses of a gas sensing material to select suitable gas classification and/or gas quantitation models. The data processor can then utilize these gas classification and quantitation models, in combination with measured dielectric responses of a gas sensing material of the gas sensor, to determine classifications and/or concentrations of two or more gases in a fluid sample, while consuming substantially less power than would be consumed if a global comprehensive model were used instead. Thus, the data processor is utilized for linear, nonlinear, and non-monotonic multivariate regressions.

公开(公告)号：US11977025B2

公开(公告)日：2024-05-07

申请号：US17859904

申请日：2022-07-07

Applicant: General Electric Company

Inventor： Radislav Alexandrovich Potyrailo ,  Baokai Cheng ,  Aghogho Atemu Obi ,  Christopher Collazo-Davila ,  Richard Jean-Luc St. Pierre

IPC: G01N21/3504 ,  G01N33/00

CPC classification number: G01N21/3504 ,  G01N33/0006 ,  G01N2201/0221

Abstract: Gas sensors are disclosed having an on-board, low-power data processor that uses multivariable gas classification and/or gas quantitation models to perform on-board data processing to resolve two or more gases in a fluid sample. To reduce computational complexity, the gas sensor utilizes low-power-consumption multivariable data analysis algorithms, inputs from available on-board sensors of ambient conditions, inputs representing contextual data, and/or excitation responses of a gas sensing material to select suitable gas classification and/or gas quantitation models. The data processor can then utilize these gas classification and quantitation models, in combination with measured dielectric responses of a gas sensing material of the gas sensor, to determine classifications and/or concentrations of two or more gases in a fluid sample, while consuming substantially less power than would be consumed if a global comprehensive model were used instead. Thus, the data processor is utilized for linear, nonlinear, and non-monotonic multivariate regressions.

公开(公告)号：US20240011962A1

公开(公告)日：2024-01-11

申请号：US17859887

申请日：2022-07-07

Applicant: General Electric Company

Inventor： Radislav Alexandrovich Potyrailo ,  Baokai Cheng

IPC: G01N33/00 ,  G01N27/12

CPC classification number: G01N33/0032 ,  G01N27/123

Abstract: A system and a method for multi-gas sensing using dielectric excitation of a single sensing material at multiple operating temperatures. By measuring dielectric excitation responses of the gas sensing material, enhanced multi-gas differentiation and differentiation can be achieved using fewer operating temperatures than would be used by the same MOS gas sensing material configured to perform multi-gas differentiation based on resistance responses alone. The disclosed gas sensors and gas sensing techniques enable improved response linearity, improved dynamic range, and reduced computational resource consumption for multi-gas quantitation relative to traditional resistance-based gas sensing methods. Present embodiments unexpectedly demonstrate MOS-based gas sensors that can differentiate between different gases using responses collected using at least two different operating temperatures, wherein this differentiation is superior in the differentiation between different gases and in baseline stability, as compared to the resistance response of the same gas sensing material at more than two operating temperatures.