Using machine learning to forecast hard drive failures

Abstract

The aim of this research is to develop an effective tool for assessing the condition of computer hardware based on an intelligent method. The outcome of this work not only facilitates the implementation of a data analysis tool into the realm of computer equipment servicing but also offers a practical example of its use for enhancing the reliability and efficiency of information systems. The findings of this research can be valuable for IT specialists responsible for technical support as well as for organizations seeking to optimize equipment servicing processes and improve their competitiveness in the market.

Keywords

• information technology equipment condition prediction
• machine learning
• smart tests
• equipment condition assessment model