USING TRAINING DATA FOR LINK RELIABILITY TEST AND PREDICTIVE MAINTENANCE

Techniques, described herein, include solutions for evaluating a pre-failure condition of a data link. The techniques described allow for detection of the pre-failure condition before actual failure of the data link. A device may receive a first set of training data and compare the first set of training data to a pre-determined set of training data to obtain a first set of values at a first time. The process may be repeated at a second time with a second set of training data and a second set of values respectively. First and second quality metrics may be obtained using the first and second set of values respectively. Based on the first and second quality metrics and a time interval between the first and second times, the pre-failure condition may be determined.