System and method for monitoring machine anomalies via control data

1. A system for monitoring machine anomalies via control data, the system comprising:

one or more sensors operative to generate control data from a machine; and

a controller in electronic communication with the one or more sensors and operative to:

receive the control data from the one or more sensors;

detect part cycles within the control data;

isolate part signatures from the part cycles;

generate a latent structure of part signatures based at least in part on the isolated part signatures;

identify an anomaly within the latent structure of part signatures; and

generate an indictor conveying the anomaly.

2. The system of claim 1 , wherein the controller is further operative to identify the anomaly based at least in part on clustering the latent structure of part signatures.

3. The system of claim 2 , wherein the controller is further operative to cluster the latent structure of part signatures via density-based spatial clustering of application with noise.

4. The system of claim 2 , wherein the controller is further operative to:

identify the anomaly within the latent structure of part signatures based at least in part on applying a transform to the latent structure of part signatures.

5. The system of claim 4 , wherein the transform is the first derivative of the latent structure of part signatures.

6. The system of claim 1 , wherein the controller is disposed at a separate site from the one or more sensors.

7. The system of claim 1 , wherein the control data includes at least one of speed data, feed data, and load data.

8. A method for monitoring machine anomalies via control data, the method comprising:

generating control data via one or more sensors from a machine;

receiving the control data at a controller in electronic communication with the one or more sensors;

detecting part cycles within the control data;

isolating part signatures from the part cycles;

generating a latent structure of part signatures based at least in part on the isolated part signatures via the controller;

identifying an anomaly within the latent structure of part signatures via the controller; and

generating an indicator conveying the anomaly via the controller.

9. The method of claim 8 , wherein identifying an anomaly within the latent structure of part signatures via the controller comprises:

clustering the latent structure of part signatures via the controller.

10. The method of claim 9 , wherein the controller clusters the latent structure of part signatures via density-based spatial clustering of application with noise.

11. The method of claim 9 , wherein identifying an anomaly within the latent structure of part signatures via the controller comprises:

transforming the latent structure of part signatures.

12. The method of claim 11 , wherein transforming the latent structure of part signatures comprises:

generating the first derivative of the latent structure of part signatures.

13. The method of claim 8 , wherein the controller is disposed at a separate site from the one or more sensors.

14. The method of claim 8 , wherein the control data includes at least one of speed data, feed data, and load data.

15. A non-transitory computer readable medium storing instructions that adapt a controller to:

receive control data generated by one or more sensors from a machine;

detect part cycles within the control data;

isolate part signatures from the part cycles;

generate a latent structure of part signatures based at least in part on the isolated part signatures;

identify an anomaly within the latent structure of part signatures; and

generate an indictor conveying the anomaly.