Remaining useful life estimator of components of HVAC system

1. A heating, ventilation, and/or air conditioning (HVAC) system with a vibration sensor coupled to a component of the HVAC system and comprising a data analyzer with a processor configured to:

receive an input from the vibration sensor coupled to the component of the HVAC system;

receive an indication of a parameter associated with the HVAC system;

select, based on the indication of the parameter, an analytical model from a plurality of analytical models stored in a memory, wherein each analytical model of the plurality of analytical models is configured to calculate a remaining useful life (RUL) of the component;

determine an RUL indication for the component of the HVAC system based on applying the analytical model using the input from the vibration sensor;

output the RUL indication;

determine fault mechanism interactions between the component and an additional component of the HVAC system based on data indicative of the component and of the additional component; and

determine an overall RUL indication for the HVAC system based on the RUL indication for the component and the fault mechanism interactions between the component and the additional component.

2. The HVAC system of claim 1 , wherein the indication of the parameter is a value of an ambient condition of the HVAC system.

3. The HVAC system of claim 2 , comprising an ambient condition sensor configured to provide the indication of the parameter, wherein the ambient condition is an ambient temperature, an ambient humidity, an ambient air quality, an ambient pressure, or any combination thereof.

4. The HVAC system of claim 1 , wherein the indication of the parameter corresponds to a material characteristic of the component of the HVAC system.

5. The HVAC system of claim 4 , wherein the material characteristic of the component is a material type of the component, and wherein the material type is copper, aluminum, steel, plastic, or any combination thereof.

6. The HVAC system of claim 1 , wherein the plurality of analytical models includes a plurality of physics-based models, and wherein each physics-based model is configured to provide the RUL indication based on the input from the vibration sensor and physics associated with potential fault mechanisms of the component of the HVAC system.

7. The HVAC system of claim 1 , comprising a user interface configured to display the RUL indication, provide an alert indicative of the RUL indication, or both, wherein the data analyzer is configured to output the RUL indication to the user interface.

8. A non-transitory computer readable storage medium for a heating, ventilation, and/or air conditioning (HVAC) system comprising instructions that, when executed by a processor, cause the processor to:

receive an input from a vibration sensor coupled to a component of the HVAC system;

receive an indication of a parameter associated with the HVAC system;

select, based on the indication of the parameter, an analytical model from a library of analytical models stored in a memory, wherein each analytical model of the library of analytical models is configured to calculate a remaining useful life (RUL) of the component;

determine and output an RUL indication for the component of the HVAC system based on applying the analytical model using the input from the vibration sensor;

determine fault mechanism interactions between the component and an additional component of the HVAC system based on data indicative of the component and of the additional component; and

determine an overall RUL indication for the HVAC system based on the RUL indication for the component and the fault mechanism interactions between the component and the additional component.

9. The non-transitory computer readable storage medium of claim 8 , wherein the indication of the parameter is a value of an ambient condition within the HVAC system, adjacent to the HVAC system, or both.

10. The non-transitory computer readable storage medium of claim 9 , wherein the ambient condition is an ambient temperature, an ambient humidity, an ambient air quality, an ambient pressure, or any combination thereof.

11. The non-transitory computer readable storage medium of claim 8 , wherein the indication of the parameter corresponds to a material characteristic of the component of the HVAC system.

12. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed by the processor, cause the processor to:

determine the RUL indication for the component of the HVAC system using the analytical model and the input from the vibration sensor; and

output a numerical value for the RUL indication.

13. The non-transitory computer readable storage medium of claim 12 , wherein the instructions, when executed by the processor, cause the processor to send the numerical value to a display of the HVAC system, a mobile device, a computing device of a service provider, a computing device of a homeowner, or any combination thereof.

14. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed by the processor, cause the processor to determine and output an uncertainty value associated with the RUL indication based on one or more variables.

15. The non-transitory computer readable storage medium of claim 14 , wherein the uncertainty value associated with the RUL indication includes a numerical range for the RUL indication.

16. A heating, ventilation, and/or air conditioning (HVAC) system, comprising:

a first vibration sensor coupled to a first component of the HVAC system;

a second vibration sensor coupled to a second component of the HVAC system; and

a data analyzer with a processor configured to:

receive a first input from the first vibration sensor coupled to the first component of the HVAC system;

determine a first remaining useful life (RUL) indication for the first component of the HVAC system based on applying a first analytical model using the first input from the first vibration sensor;

receive a second input from the second vibration sensor coupled to the second component of the HVAC system;

determine a second RUL indication for the second component of the HVAC system based on applying a second analytical model using the second input from the second vibration sensor;

determine fault mechanism interactions between the first component and the second component based on data indicative of the first component and of the second component; and

determine an overall RUL indication for the HVAC system based on the first RUL indication, the second RUL indication, and the fault mechanism interactions between the first component and the second component.

17. The HVAC system of claim 16 , wherein the data analyzer is configured to select, from a library of a plurality of analytical models stored in a memory, the first analytical model based on an indication of a parameter associated with the first component, and wherein the data analyzer is configured to select, from the library of the plurality of analytical models, the second analytical model based on an indication of a parameter associated with the second component.

18. The HVAC system of claim 16 , comprising a control system having the data analyzer, wherein the control system is configured to perform a control operation of the HVAC system based on the first RUL indication for the first component, the second RUL indication of the second component, the overall RUL indication of the HVAC system, or any combination thereof.

19. The HVAC system of claim 18 , wherein the control operation includes de-rating the HVAC system, shutting down a portion of the HVAC system, or shutting down the HVAC system.

20. The HVAC system of claim 16 , wherein the first vibration sensor, the second vibration sensor, or both, include a transducer configured to measure acceleration, displacement, strain, or any combination thereof.

21. The HVAC system of claim 16 , wherein the data analyzer is configured to send the overall RUL indication for the HVAC system to a display of the HVAC system, a mobile device, a computing device of a service provider, a computing device of a homeowner, or any combination thereof.

22. The HVAC system of claim 16 , wherein the data indicative of the first component and of the second component includes a first type of the first component, a first location of the first component, a first material characteristic of the first component, or any combination thereof, and includes a second type of the second component, a second location of the second component, a second material characteristic of the second component, or any combination thereof.

23. The HVAC system of claim 16 , wherein the fault mechanism interactions comprise a first fault mechanism of the first component initiating a second fault mechanism of the second component, accelerating the second fault mechanism of the second component, or both.