Digital media drive failure prediction system and method

1. A method for predicting failure of a digital media drive, comprising:

measuring a current draw associated with a digital media drive at least two different operating times of the digital media drive; and

automatically determining whether a difference between the measured current draws indicates an impending failure of the digital media drive; and

generating a current draw profile for the digital media drive for determining the difference.

2. The method of claim 1 further comprising determining that the difference is indicative of an impending failure of the digital media drive in response to the difference exceeding a predetermined threshold.

3. The method of claim 1 wherein measuring the current draw comprises measuring the current draw associated with a spindle motor of the digital media drive.

4. The method of claim 1 further comprising evaluating a rate of change in a current draw associated with the digital media drive to predict an impending failure of the digital media drive.

5. The method of claim 1 further comprising determining a presence of short-duration anomaly in the difference.

6. The method of claim 5 wherein determining the presence of the short-duration anomaly comprises determining a frequency spectrum of the difference.

7. The method of claim 1 further comprising evaluating a temperature associated with the digital media drive to predict an impending failure of the digital media drive.

8. The method of claim 1 further comprising modifying a prediction module, the prediction module comprising data relating one or more measurements of a current draw with one or more failures of a digital media drive.

9. A digital media drive failure prediction system, comprising:

a prediction module configured to analyze a current draw associated with a digital media drive measured at least two different operating times of the digital media drive to automatically determine whether a difference between the measured current draws indicates an impending failure of the digital media drive, wherein the prediction module is configured to determine a presence of a short-duration anomaly in the difference and wherein the prediction module is configured to output a signal providing notice of the impending failure or to backup data of the digital media drive upon indication of the impending failure.

10. The system of claim 9 further comprising a current meter configured to measure the current draw associated with the digital media drive.

11. The system of claim 9 wherein the prediction module is configured to analyze a current draw associated with a spindle motor of the digital media drive.

12. The system of claim 9 wherein the prediction module is configured to analyze a temperature associated with the digital media drive to predict an impending failure of the digital media drive.

13. The system of claim 9 wherein the prediction module is configured to identify an impending failure of the digital media drive if the difference exceeds a predetermined threshold.

14. The system of claim 9 wherein the prediction module is configured to determine a frequency spectrum associated with the difference.

15. The system of claim 9 wherein the prediction module is configured for machine-learning.

16. A computer program embodied on a computer readable medium, and when executed by a processor, operable to:

analyze a difference between a current draw associated with a digital media drive measured at least two different operating times of the digital media drive;

to determine a presence of a shod-duration anomaly in the difference to predict an impending failure of the digital media drive; and

predict an impending failure of the digital media drive using the at least one difference; and

upon indication of the impending failure, output a signal providing notice of the impending failure on an output device or backup data of the digital media drive.

17. The computer program of claim 16 wherein the computer program, when executed by the processor, is configured to determine a frequency spectrum of the difference.

18. A method for predicting failure of a digital media drive, comprising:

measuring a current draw associated with a digital media drive at least two different operating times of the digital media drive; and

automatically determining whether a difference between the measured current draws indicates an impending failure of the digital media drive; and

determining a presence of short-duration anomaly in the difference.

19. The method of claim 18 wherein determining the presence of the short-duration anomaly comprises determining a frequency spectrum of the difference.