SYSTEMS AND METHODS FOR DATA COLLECTION AND PHASE DETECTION

Abstract

Systems and methods for data collection and phase detection are disclosed. A system can include a data acquisition circuit to interpret a plurality of detection values received from a plurality of multiplexed input sensors, each of the plurality of input sensors operatively coupled to a component of an industrial system. The system may 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 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.

Claims

1. A system for data collection, the system comprising: a data acquisition circuit structured to interpret a plurality of detection values received from a plurality of multiplexed 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 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. A method comprising: interpreting a plurality of detection values received from a plurality of multiplexed 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 utilizing a neural network; and classifying a type or an identity of a distant device comprising the component, 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.

8. The method of claim 7, further comprising routing the at least one trigger channel into at least one of multiple inputs.

9. The method of claim 8, wherein the at least one trigger channel is raw and unbuffered.

10. The method of claim 7, further comprising determining a trigger quality of at least one of the plurality of trigger pulses forming a part.

11. The method of claim 10, further comprising utilizing the trigger quality to determine a state of corruption of the trigger signal.

12. The method of claim 11, 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.

13. 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 multiplexed 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.

14. The system of claim 13, wherein the data acquisition circuit is further structured to route the at least one trigger channel into at least one of multiple inputs.

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

16. The system of claim 13, 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 structured 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 at least one 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.