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