SYSTEMS AND METHODS FOR DATA COLLECTION AND FREQUENCY ANALYSIS

Abstract

Systems and methods for data collection and frequency analysis are disclosed. A system can include a data acquisition circuit to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from a detection package, the detection package including at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to an component of an industrial system. The system can also include a data analysis circuit utilizing a neural network to analyze a subset of the plurality of detection values and a phase of the plurality of detection values to classify a type or an identity of a distant device, wherein the data analysis circuit makes use of a signal evaluation circuit to perform a frequency analysis on the plurality of detection values.

Claims

1. A system for data collection, the system comprising: a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from a detection package, the detection package comprising at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to an component of an industrial system; and a data analysis circuit utilizing a neural network and structured to analyze a subset of the plurality of detection values and a phase of the plurality of detection values to classify a type or an identity of a distant device, wherein the data analysis circuit makes use of a signal evaluation circuit structured to perform a frequency analysis on the plurality of detection values.

2. The system of claim 1, wherein a form of the frequency analysis is selected from a group consisting of a digital Fast Fourier transform (FFT), a Laplace transform, a Z-transform and a wavelet transform.

3. The system of claim 1, wherein a form of the frequency analysis is selected from a group consisting of a frequency domain transform and a complex analysis.

4. The system of claim 3, wherein the complex analysis comprises a complex phase evolution analysis.

5. The system of claim 1, wherein the signal evaluation circuit is further structured to perform a transitory signal analysis.

6. The system of claim 5, wherein the transitory signal analysis comprises identifying a change in an input signal, and wherein the change is a change in amplitude that exceeds a predetermined value.

7. The system of claim 5, wherein the transitory signal analysis comprises identifying a change in an input signal, and wherein the change persists for a predetermined period of time.

8. The system of claim 1, wherein the signal evaluation circuit is further structured to predict a future state of the component based, at least in part, upon the subset of the plurality of detection values and the phase of the plurality of detection values, wherein the future state corresponds to at least one state selected from a list consisting of: a specified time, a state of a process, a state of a parameter of interest, a state at peak energy consumption, a state at highest temperature value, a state at maximum noise value, and a state when an aspect of system redundancy is at a lowest point.

9. A method comprising: interpreting a plurality of detection values, each of the plurality of detection values corresponding to input received from a detection package, the detection package comprising at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to a component of an industrial system; and analyzing with a neural network a subset of the plurality of detection values and a phase of the plurality of detection values to classify a type or an identity of a distant device.

10. The method of claim 9, wherein the analyzing with the neural network further comprises utilizing a signal evaluation circuit structured to perform a frequency analysis on the plurality of detection values.

11. The method of claim 9, wherein a form of the frequency analysis is selected from a group consisting of a digital Fast Fourier transform (FFT), a Laplace transform, a Z-transform and a wavelet transform.

12. The method of claim 9, wherein a form of the frequency analysis is selected from a group consisting of a frequency domain transform and a complex analysis.

13. The method of claim 12, wherein the complex analysis comprises a complex phase evolution analysis.

14. The method of claim 9, wherein the analyzing with the neural network further comprises a transitory signal analysis.

15. The method of claim 14, wherein the transitory signal analysis comprises identifying a change in an input signal, and wherein the change is a change in amplitude that exceeds a predetermined value.

16. The method of claim 14, wherein the transitory signal analysis comprises identifying a change in an input signal, and wherein the change persists for a predetermined period of time.

17. A system for data collection, the system comprising: a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to a component of an industrial system; and a data analysis circuit utilizing a neural network and structured to analyze a subset of the plurality of detection values and a phase of the plurality of detection values to classify a type or an identity of a distant device, wherein the data analysis circuit makes use of a signal evaluation circuit structured to perform a frequency analysis on the plurality of detection values.

18. The system of claim 17, wherein a form of the frequency analysis is selected from a group consisting of a digital Fast Fourier transform (FFT), a Laplace transform, a Z-transform and a wavelet transform.

19. The system of claim 17, wherein a form of the frequency analysis is selected from a group consisting of a frequency domain transform and a complex analysis.

20. The system of claim 17, wherein the complex analysis comprises a complex phase evolution analysis.

21. The system of claim 17, wherein the signal evaluation circuit is further structured to perform a transitory signal analysis.

22. The system of claim 21, wherein the transitory signal analysis comprises identifying a change in an input signal, and wherein the change is a change in amplitude that exceeds a predetermined value.

23. The system of claim 21, wherein the transitory signal analysis comprises identifying a change in an input signal, and wherein the change persists for a predetermined period of time.