SYSTEMS AND METHODS FOR DATA COLLECTION AND ANALYSIS UTILIZING A NEURAL NETWORK

Abstract

Systems and methods for data collection and analysis utilizing a neural network are disclosed. A system for data collection 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. The system may further 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 phase of the plurality of detection values is derived using at least one on-board timer relative to at least one trigger channel including a trigger signal output from a trigger sensor and formed of a plurality of trigger pulses.

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 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 phase of the plurality of detection values is derived using at least one on-board timer relative to at least one trigger channel comprising a trigger signal output from a trigger sensor and formed of a plurality of trigger pulses.

2. The system of claim 1, wherein the data acquisition circuit is further structured to route the at least one trigger channel into at least one of multiple inputs.

3. The system of claim 2, wherein the at least one trigger channel is raw and unbuffered.

4. The system of claim 1, wherein the data analysis circuit is further structured to determine a trigger quality of the at least one of the plurality of trigger pulses associated with forming a part.

5. The system of claim 4, wherein the data analysis circuit is further structured to utilize the trigger quality to determine a state of corruption of the trigger signal.

6. The system of claim 5, wherein the state of corruption is indicative of at least one of an inadequate placement of the trigger sensor, a wiring issue, and a faulty setup of the trigger sensor.

7. The system of claim 1, wherein the detection package is operatively coupled to a first component of the industrial system, wherein the distant device comprises a second component of the industrial system, and wherein the second component is an offset component of the first component.

8. 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; analyzing a subset of the plurality of detection values and a phase of the plurality of detection values via a neural network; and classifying a type or an identity of a distant device, wherein the phase of the plurality of detection values is derived using at least one on-board timer relative to at least one trigger channel comprising a trigger signal output from a trigger sensor and formed of a plurality of trigger pulses.

9. The method of claim 8, further comprising routing the at least one trigger channel into at least one of multiple inputs.

10. The method of claim 9, wherein the at least one trigger channel is raw and unbuffered.

11. The method of claim 8, further comprising determining a trigger quality of at least one of the plurality of trigger pulses forming a part.

12. The method of claim 11, further comprising utilizing the trigger quality to determine a state of corruption of the trigger signal.

13. The method of claim 12, wherein the state of corruption is indicative of at least one of an inadequate placement of the trigger sensor, a wiring issue and a faulty setup of the trigger sensor.

14. A 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 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, wherein the data acquisition circuit is structured to route at least one trigger channel into at least one of multiple inputs; 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 phase of the plurality of detection values is derived using at least one on-board timer relative to the at least one trigger channel comprising a trigger signal output from a trigger sensor and formed of a plurality of trigger pulses.

15. The system of claim 14, wherein the at least one trigger channel is raw and unbuffered.

16. The system of claim 14, wherein the data analysis circuit is further structured to determine a trigger quality of at least one of the plurality of trigger pulses associated with forming a part.

17. The system of claim 16, wherein the data analysis circuit is further adapted to utilize the trigger quality to determine a state of corruption of the trigger signal.

18. The system of claim 17, wherein the state of corruption is indicative of an inadequate placement of the trigger sensor.

19. The system of claim 17, wherein the state of corruption is indicative of a wiring issue.

20. The system of claim 17, wherein the state of corruption is indicative of a faulty setup of the trigger sensor.