IP Library › Granted Patent US 12,594,524
Granted Patent B2
US 12,594,524 · App. 18/418,447 · Granted Apr 7, 2026

System and method for concentrating gas

Inventor: Haneen Y. Yehya (Parma, OH)
Assignee: VENTEC LIFE SYSTEMS, INC.
B01D53/30B01D53/047G05B13/048G05B23/0254G05B23/027A61M16/101B01D2253/108B01D2256/12B01D2257/102B01D2257/502B01D2257/504B01D2257/80B01D2259/40009B01D2259/402B01D2259/4533B01D2259/4541
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Quick Facts
Patent No.
US 12,594,524
App. No.
18/418,447
Filed
Jan 22, 2024
Granted
Apr 7, 2026
Kind
B2
Art Unit
2119
USPC
700/275
Abstract

Embodiments of gas concentrating systems and methods are provided. These systems and methods comprise configuration of hardware and software components to monitor various sensors associated the systems and methods of concentrating gas as described herein. These hardware and software components are further configured to utilize information obtained from sensors throughout the system to perform certain data analysis tasks. Through analysis, the system may, for example, calculate a time to failure for one or more system components, generate alarms to warn a user of pending component failure, modify system settings to improve functionality in differing environmental conditions, modify system operation to conserve energy, and/or determine optimal setting configurations based on sensor feedback.

Claims (66)

1 . A method comprising:

collecting oxygen and pressure data from sensors of a gas concentrator;

calculating a linear regression for the pressure data;

determining a predicted time to failure for one or more gas concentrator components based on the collected oxygen data;

determining the slope of the pressure linear regression; and

generating one or more component alarms based on the oxygen data and the pressure linear regression.

2 . The method of claim 1 , wherein generating one or more component alarms based on the oxygen data and the pressure linear regression comprises:

generating a time window, the time window being a period that ends before the predicted failure of the component.

3 . The method of claim 2 , wherein generating one or more component alarms based on the oxygen data and the pressure linear regression further comprises:

determining if a slope of the pressure linear regression is positive or negative during the time window.

4 . The method of claim 3 , wherein generating one or more component alarms based on the oxygen data and the slope of the pressure linear regression further comprises:

generating a sieve bed alarm if the slope of the pressure linear regression is positive at the start of the time window.

5 . The method of claim 3 , wherein for generating one or more component alarms based on the oxygen data and the slope of the pressure linear regression further comprises:

generating a sieve bed alarm if the slope of the pressure linear regression is positive at the end of the time window.

6 . The method of claim 3 , wherein generating one or more component alarms based on the oxygen data and the slope of the pressure linear regression further comprises:

generating a compressor alarm if the slope of the pressure linear regression is negative at the start of the time window.

7 . The method of claim 3 , wherein generating one or more component alarms based on the oxygen data and the slope of the pressure linear regression further comprises:

generating a compressor alarm if the slope of the pressure linear regression is negative at the end of the time window.

8 . The method of claim 3 , wherein generating one or more component alarms based on the oxygen data and the slope of the pressure linear regression further comprises:

generating a filter alarm if the slope of the pressure linear regression is negative at the start of the time window.

9 . The method of claim 3 , wherein generating one or more component alarms based on the oxygen data and the slope of the pressure linear regression further comprises:

generating a filter alarm if the slope of the pressure linear regression is negative at the end of the time window.

10 . A method comprising:

collecting oxygen and pressure data from sensor of a gas concentrator;

calculating linear regressions for the oxygen and pressure data;

determining a predicted time to failure for one or more gas concentrator components based on the oxygen linear regression;

determining the slope of the pressure linear regression calculation; and

generating one or more component alarms based on the oxygen linear regression and the slope of the pressure linear regression.

11 . The method of claim 10 , wherein generating one or more component alarms based on the oxygen linear regression and the slope of the pressure linear regression comprises:

using the oxygen linear regression to generate a time window which is a period that ends before the predicted failure of the component.

12 . The method of claim 11 , wherein generating one or more component alarms based on the oxygen linear regression and the slope of the pressure linear regression further comprises:

determining if the slope of the pressure linear regression is positive or negative during the time window.

13 . The method of claim 12 , wherein generating one or more component alarms based on the oxygen linear regression and the slope of the pressure linear regression further comprises:

generating a sieve bed alarm if the slope of the pressure linear regression is positive at the start of the time window.

14 . The method of claim 12 , wherein generating one or more component alarms based on the oxygen linear regression and the slope of the pressure linear regression further comprises:

generating a sieve bed alarm if the slope of the pressure linear regression is positive at the end of the time window.

15 . The methodof claim 12 , wherein generating one or more component alarms based on the oxygen linear regression and the slope of the pressure linear regression further comprises:

generating a compressor alarm if the slope of the pressure linear regression is negative at the start of the time window.

16 . The method of claim 12 , wherein generating one or more component alarms based on the oxygen linear regression and the slope of the pressure linear regression further comprises:

generating a compressor alarm if the slope of the pressure linear regression is negative at the end of the time window.

17 . A method comprising:

collecting oxygen and pressure data;

calculating a linear regression for the pressure data;

determining a first predicted time to failure for one or more gas concentrator components based on the oxygen data;

determining a second predicted time to failure for one or more gas concentrator components based on the pressure linear regression;

comparing the first and second predicted times to failure;

setting based on the comparison a time window having a period that ends before a sooner one of the first predicted time to failure or the second predicted time to failure of the one or more gas concentrator components; and

generating one or more component alarms within the time window.

18 . The method of claim 17 , wherein comparing the first and second predicted times to failure comprises determining which of the first and second predicted times to failure will occur sooner.

19 . The method of claim 18 , wherein setting a time window based on the comparison comprises setting the time window based on the sooner occurring predicted time to failure.

20 . The method of claim 17 , wherein generating one or more component alarms within the time window comprises generating one or more component alarms within a 30 day time window.

21 . A method comprising:

collecting oxygen and pressure data from sensors of a gas concentrator;

calculating trendline data for the pressure data;

determining a predicted time to failure for one or more gas concentrator components based on the collected oxygen data;

determining the slope of the pressure trendline data; and

generating one or more alerts based on the oxygen data and the pressure trendline data.

22 . The method of claim 21 wherein calculating trendline data for the pressure data comprises linear regression data.

23 . The method of claim 21 wherein calculating trendline data for the pressure data comprises exponential trendline data.

24 . The method of claim 21 wherein calculating trendline data for the pressure data comprises logarithmic trendline data.

25 . The method of claim 21 wherein calculating trendline data for the pressure data comprises polynomial trendline data.

26 . The method of claim 21 wherein calculating trendline data for the pressure data comprises power trendline data.

27 . The method of claim 21 wherein generating one or more alerts comprises generating one or more notifications.

28 . The method of claim 21 wherein generating one or more alerts comprises generating one or more notifications on a smartphone.

29 . The method of claim 21 wherein generating one or more alerts comprises generating one or more notifications over a network.

30 . The method of claim 21 wherein generating one or more alerts comprises generating a latest predicted time to failure.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 22, 2024
From: YEHYA, HANEEN Y
To: INVACARE CORPORATION
Reel/Frame 066193/0858 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 22, 2024
From: INVACARE CORPORATION
To: VENTEC LIFE SYSTEMS,INC.
Reel/Frame 066194/0086 →
Continuity (3)
Continuation 17376253 · Jul 15, 2021
Provisional Application 63052869 · Jul 16, 2020
Related Publication 20240157289A1 · May 16, 2024
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