Control board systems and methods for diagnosis of HVAC components
US-12066210-B2 · Aug 20, 2024 · US
US10481018B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10481018-B2 |
| Application number | US-201615132734-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 19, 2016 |
| Priority date | Apr 19, 2016 |
| Publication date | Nov 19, 2019 |
| Grant date | Nov 19, 2019 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
Embodiments of the disclosure relate to systems and methods to evaluate performance of a fluid transport system. Towards this end, a performance report of the fluid transport system can be generated by estimating various performance parameters at an outlet of a heat exchanger in lieu of using sensor data obtained directly from the outlet of the heat exchanger. Specifically, in one exemplary implementation, sensor data is obtained from an inlet of the heat exchanger and an outlet of a downstream element that is coupled to the heat exchanger, for estimating the various performance parameters at the outlet of the heat exchanger. The estimated performance parameters can then be combined with empirical data and predictive data for generating the performance report of the fluid transport system.
Opening claim text (preview).
That which is claimed is: 1. A method comprising: receiving, by one or more processors, sensor data from an inlet of a first heat exchanger in a gas turbine system, and further, receiving sensor data from an outlet of a downstream element coupled to the first heat exchanger; receiving, by the one or more processors, empirical data associated with one or both of the first heat exchanger and the downstream element; receiving, by the one or more processors, predictive data associated with one or both of the first heat exchanger and the downstream element; and generating, by the one or more processors, a command signal by executing an evaluation procedure using at least the sensor data, the empirical data, and the predictive data; and modifying, based at least in part on the command signal, operation of the first heat exchanger or the downstream element. 2. The method of claim 1 , wherein the downstream element is one of a heat dissipating element or a heat transfer element, and wherein executing the evaluation procedure comprises using the sensor data obtained from the inlet of the first heat exchanger and the outlet of the one of a heat dissipating element or a heat transfer element to indirectly determine one or more performance parameters at the outlet of the first heat exchanger. 3. The method of claim 2 , wherein the evaluation procedure comprises executing a neural network procedure, and wherein the sensor data obtained from the inlet of the first heat exchanger comprises at least one of thermal performance data or fluid-flow performance data. 4. The method of claim 3 , wherein the fluid-flow performance data comprises at least one of fluid-flow pressure or fluid-flow rate. 5. The method of claim 1 , wherein the downstream element is one of a second heat exchanger, a valve, a pump, or a drum, and wherein the empirical data associated with the one or both of the first heat exchanger and the one of a second heat exchanger, a valve, a pump, or a drum comprises a membership function that is defined on the basis of an input-output thermal transfer relationship. 6. The method of claim 5 , further comprising: setting a limit value that is defined based at least in part on a minimum heat duty and a maximum heat duty of the at least one of the first heat exchanger or the one of a second heat exchanger, a valve, a pump, or a drum; and using the limit value in a Monte Carlo simulation procedure to define a plurality of classifiers. 7. The method of claim 6 , wherein each of the plurality of classifiers is characterized by a unique combination of an operating condition of a fan that is a part of the first heat exchanger and an operating condition of the one of a second heat exchanger, a valve, a pump, or a drum. 8. The method of claim 7 , further comprising: generating a plurality of cluster models based at least in part on the plurality of classifiers. 9. The method of claim 8 , wherein executing the evaluation procedure comprises using the plurality of cluster models, the sensor data, the empirical data, and the predictive data to generate the performance report. 10. A system comprising: a memory containing computer-executable instructions; and a processor configured to access the memory and execute computer-executable instructions to at least: receive sensor data from an inlet of a first heat exchanger in a gas turbine system, and further, receive sensor data from an outlet of a downstream element coupled to the first heat exchanger; receive empirical data associated with one or both of the first heat exchanger and the downstream element; receive predictive data associated with one or both of the first heat exchanger and the downstream element; and generate a command signal by executing an evaluation procedure using at least the sensor data, the empirical data, and the predictive data; and modify, based at least in part on the command signal, operation of the first heat exchanger or the downstream element. 11. The system of claim 10 , wherein the downstream element is one of a heat dissipating element or a heat transfer element, and wherein executing the evaluation procedure comprises using the sensor data obtained from the inlet of the first heat exchanger and the outlet of the one of a heat dissipating element or a heat transfer element to indirectly determine one or more performance parameters at the outlet of the first heat exchanger. 12. The system of claim 11 , wherein the evaluation procedure executed by the processor is a neural network procedure and wherein generating the performance report further includes: generating a plurality of cluster models based at least in part on a plurality of classifiers; and executing the neural network procedure using the plurality of cluster models, the sensor data, the empirical data, and the predictive data. 13. The system of claim 12 , wherein the downstream element is one of a second heat exchanger, a valve, a pump, or a drum and wherein each of the plurality of classifiers is characterized by a unique combination of an operating condition of a fan that is a part of the first heat exchanger and an operating condition of the one of a second heat exchanger, a valve, a pump, or a drum. 14. A system comprising: a first heat exchanger in a gas turbine system, the first heat exchanger having an outlet coupled to an inlet of a downstream element in a coupling arrangement that is characterized at least in part by an absence of sensor data indicative of a health status of the coupling arrangement; and a heat exchanger performance evaluation system comprising a processor, the processor configured to generate a command signal associated with modifying operation of at least one of the first heat exchanger or the downstream element by executing an evaluation procedure comprising: receiving sensor data from an inlet of the first heat exchanger and an outlet of the downstream element; receiving empirical data associated with one or both of the first heat exchanger and the downstream element; receiving predictive data associated with the one or both of the first heat exchanger and the downstream element; and generating the performance report by using at least the sensor data, the empirical data and the predictive data; and modifying, based at least in part on the command signal, operation of the first heat exchanger or the downstream element. 15. The system of claim 14 , wherein generating the performance report comprises determining one or more performance parameters of the coupling arrangement using the sensor data obtained from the inlet of the first heat exchanger and the outlet of the downstream element. 16. The system of claim 15 , wherein the sensor data obtained from the inlet of the first heat exchanger and the outlet of the downstream element is at least one of thermal performance data or fluid-flow performance data. 17. The system of claim 16 , wherein the downstream element is one of a second heat exchanger, a valve, a pump, or a drum, and wherein the empirical data associated with the one or both of the first heat exchanger and the one of a second heat exchanger, a valve, a pump, or a drum comprises a membership function that is defined on the basis of an input-output thermal transfer relationship. 18. The system of claim 17 , wherein generating the performance report further includes: setting a limit value that is defined on the basis of a minimum heat duty and a maximum heat duty of the at least one of the first heat exchanger or the one of a second heat exchanger, a valve, a pump, or a drum;
Related publications grouped by family.
Answers are generated from the same data shown on this page.