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In a data dependent world, the ULINK DA Drive Analyzer AI algorithms disrupt drive failure prediction with 7-8 times more effectiveness than traditional systems.
The average life expectancy of human beings has steadily increased to 73 years and is expected by the UN to reach 83 years by the end of this century. A chief contributor to this achievement is health monitoring technology and tools. Similarly in the world of drives, ULINK DA Drive Analyzer uses AI and ML powered features to track the deteriorating drive health symptoms so that you can take appropriate drive-life saving actions.
One such feature is the Symptom Radar Chart that explains the symptoms behind at-risk drives. In the form of a polygon-shaped radar chart, it summarizes each drive’s health parameters along five symptom axes: S.M.A.R.T., Temperature, Drive-Detected Issues, Self-Test, and Host-Detected Issues.
A lower axis score indicates poorer health along the corresponding health axis. For example, in the illustration the drive has a lower axis score of 7 on the S.M.A.R.T. axis. So based on the S.M.A.R.T. attributes, the drive has a 70% chance of remaining with the user over the next year according to historical S.M.A.R.T. data.
Keeping track of the little signs will help you get an overview of the health of your drive and take the necessary action at the right time to prevent a drive failure. When the drive shows signs of deteriorating health, you can use other features of ULINK DA Drive Analyzer.
Using the ML-driven Symptom Radar feature, you can diagnose the overall health of your drive and make informed, scientific decisions for averting drive failure.
