Hardware Failure Prediction Modes Powered by Artificial Intelligence
DOI:
https://doi.org/10.54097/5qrhwj73Keywords:
Hardware failure prediction, Artificial intelligence (AI), System stability and reliability.Abstract
With the increase of the system scale and complexity of modern computer systems and electronic equipment, the physical components (hardware) in computer or electronic equipment are damaged, the performance is reduced or the normal operation of computer and electronic systems is greatly increased due to various reasons. Detecting and predicting hardware faults in time is the key to ensure system stability and reliability. Hardware failure prediction technology based on artificial intelligence (AI) can effectively predict potential hardware failures by analyzing historical data, monitoring equipment operating status in real time, and reducing system downtime and maintenance costs. This paper reviews the current hardware fault prediction methods based on artificial intelligence, discusses the common algorithms, technical challenges, and application scenarios, and looks forward to the future development direction of this field.
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