Method for predicting and managing defects in a hard disk drive using hierarchical clustering and curve fit

摘要

The defects and the prediction processing method in the hard disk drive is disclosed. One embodiment the defect prediction of the hard disk drive method according to the present invention, forming a plurality of clusters from the magnetic phase which occurred on the surface detects the defect, it said detected by using a hierarchical clustering algorithm, a defect of the disc phase step, calculating a curve fit (curve fit) for each cluster, and is characterized in that it comprises the step of predicting the number of defects occur in the future on the basis of the calculated curve fit. Because of this, there is an effect capable of improving the reliability of the hard disk drive. ; Hierarchical clustering, curve fit, defective hard disk drive