IP Library Granted Patent US 12,247,940
Granted Patent B2
US 12,247,940 · App. 17/587,101 · Granted Mar 11, 2025

Fluid property sensing array utilizing a neural network

Inventors: Jiang Zhe (Copley, OH); Dian Jiao (Akron, OH); Aaron Urban (Cleveland, OH)
Assignee: THE UNIVERSITY OF AKRON
G01N27/302G01N33/2847G01N33/2876G06N3/04G06N3/063G06N3/08
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Quick Facts
Patent No.
US 12,247,940
App. No.
17/587,101
Granted
Mar 11, 2025
Kind
B2
Abstract

A fluid property sensing array includes a first sensor including a first electrode assembly and a first sensing layer at least partially coating the first electrode assembly, the first sensor having a first response to a property of the fluid; and a second sensor including a second electrode assembly and a second sensing layer at least partially coating the second electrode assembly, the second sensor having a second response to the property of the fluid. The array can include a third sensor including a third electrode assembly and a third sensing layer at least partially coating the third electrode assembly, the third sensor having a third response to the property of the fluid. The first sensing layer, the second sensing layer, and the third sensing layer can be compositionally different, such that the first response, the second response, and the third response to the property of the fluid are different.

Claims (55)

1. A fluid property sensing array for detecting properties of a fluid, the fluid property sensing array comprising

a first sensor including a first electrode assembly and a first sensing layer at least partially coating the first electrode assembly, the first sensor having a first response to a property of the fluid;

a second sensor including a second electrode assembly and a second sensing layer at least partially coating the second electrode assembly, the second sensor having a second response to the property of the fluid; and

a third sensor including a third electrode assembly and a third sensing layer at least partially coating the third electrode assembly, the third sensor having a third response to the property of the fluid;

where the first sensing layer, the second sensing layer, and the third sensing layer are compositionally different, such that the first response, the second response, and the third response to the property of the fluid are different;

where the first sensing layer includes polyimide, where the second sensing layer includes polytetrafluoroethylene, and where the third sensing layer includes a sulfonated tetrafluoroethylene-based fluoropolymer-copolymer.

2. The fluid property sensing array of claim 1 , where the fluid is lubricant oil.

3. The fluid property sensing array of claim 1 , where the first response includes response to water content of the fluid and response to one or more of acid content and base content of the fluid.

4. The fluid property sensing array of claim 3 , where the second response includes response to the one or more of acid content and base content of the fluid and an indifference response to the water content of the fluid.

5. The fluid property sensing array of claim 4 , where the third response includes response to both the acid content and the base content of the fluid.

6. The fluid property sensing array of claim 2 ,

where the first response includes response to water content of the lubricant oil and response to one or more of acid content and base content of the lubricant oil,

where the second response includes response to the one or more of acid content and base content of the lubricant oil and an indifference response to the water content of the lubricant oil, and

where the third response includes response to both the acid content and the base content of the lubricant oil.

7. The fluid property sensing array of claim 1 , where the first electrode assembly, the second electrode assembly, and the third electrode assembly include respective interdigitated electrode assemblies.

8. A fluid property sensing system comprising

a fluid property sensing array for detecting properties of a fluid, the fluid property sensing array comprising

a first sensor including a first electrode assembly and a first sensing layer at least partially coating the first electrode assembly, the first sensor having a first response to a property of the fluid;

a second sensor including a second electrode assembly and a second sensing layer at least partially coating the second electrode assembly, the second sensor having a second response to the property of the fluid; and

a third sensor including a third electrode assembly and a third sensing layer at least partially coating the third electrode assembly, the third sensor having a third response to the property of the fluid;

where the first sensing layer, the second sensing layer, and the third sensing layer are compositionally different, such that the first response, the second response, and the third response to the property of the fluid are different;

a measurement circuit for measuring the first response, the second response, and the third response, to thereby produce a data output;

a data acquisition machine for converting the data output into a computer input; and

a computer for receiving the computer input, where the computer employs a neural network for processing the computer input, where the neural network is a general regression neural network.

9. The fluid property sensing system of claim 8 , where the general regression neural network includes an input layer, a radial basis layer, a linear layer, and an output layer.

10. The fluid property sensing system of claim 9 , where the input layer includes from three to five nodes, the radial basis layer includes from ten to thirty-two nodes, the linear layer includes from two to five nodes, and the output layer includes from three to five nodes.

11. The fluid property sensing system of claim 10 , where the input layer includes three nodes, and the output layer includes three nodes.

12. A fluid property sensing system comprising

a fluid property sensing array for detecting properties of a fluid, the fluid property sensing array comprising

a first sensor including a first electrode assembly and a first sensing layer at least partially coating the first electrode assembly, the first sensor having a first response to a property of the fluid;

a second sensor including a second electrode assembly and a second sensing layer at least partially coating the second electrode assembly, the second sensor having a second response to the property of the fluid; and

a third sensor including a third electrode assembly and a third sensing layer at least partially coating the third electrode assembly, the third sensor having a third response to the property of the fluid;

where the first sensing layer, the second sensing layer, and the third sensing layer are compositionally different, such that the first response, the second response, and the third response to the property of the fluid are different;

where the system provides a first alarm for an increase in the acid content being about 0.3 mg KOH/g, a second alarm for the base content being lower than 2 mg KOH/g, and a third alarm for the water content being about 1000 ppm.

13. A fluid property sensing system comprising

a fluid property sensing array for detecting properties of a fluid, the fluid property sensing array comprising

a first sensor including a first electrode assembly and a first sensing layer at least partially coating the first electrode assembly, the first sensor having a first response to a property of the fluid;

a second sensor including a second electrode assembly and a second sensing layer at least partially coating the second electrode assembly, the second sensor having a second response to the property of the fluid; and

a third sensor including a third electrode assembly and a third sensing layer at least partially coating the third electrode assembly, the third sensor having a third response to the property of the fluid;

where the first sensing layer, the second sensing layer, and the third sensing layer are compositionally different, such that the first response, the second response, and the third response to the property of the fluid are different;

where the system provides a first alarm for an increase in the acid content being from 0.2 mg KOH/g to 0.4 mg KOH/g, a second alarm for the base content being lower than 3 mg KOH/g, and a third alarm for the water content being from 500 ppm to 2000 ppm.

14. A fluid property sensing system comprising

a fluid property sensing array for detecting properties of a fluid, the fluid property sensing array comprising

a first sensor including a first electrode assembly and a first sensing layer at least partially coating the first electrode assembly, the first sensor having a first response to a property of the fluid;

a second sensor including a second electrode assembly and a second sensing layer at least partially coating the second electrode assembly, the second sensor having a second response to the property of the fluid; and

a third sensor including a third electrode assembly and a third sensing layer at least partially coating the third electrode assembly, the third sensor having a third response to the property of the fluid;

where the first sensing layer, the second sensing layer, and the third sensing layer are compositionally different, such that the first response, the second response, and the third response to the property of the fluid are different;

a machine housing containing the fluid property sensing array;

a fluid inlet for passing the fluid into the machine housing; and

a fluid outlet for flowing the fluid out of the machine housing.

15. A method for detecting properties of the fluid, the method implementing the fluid property sensing system of claim 14 , the method comprising steps of

providing the fluid property sensing system of claim 14 ;

allowing the fluid to flow to the fluid property sensing array; and

processing the first response, the second response, and the third response with the computer, the processing step employing a neural network.

16. The method of claim 15 , where the neural network is a general regression neural network.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 28, 2022
From: ZHE, JIANG; JIAO, DIAN; URBAN, AARON
To: THE UNIVERSITY OF AKRON
Reel/Frame 058807/0709 →
Continuity (2)
Provisional Application 63167827 · Mar 30, 2021
Related Publication 20220317081A1 · Oct 6, 2022
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