System analysis and information processing to solve the problem of detecting breakdowns of computer information storage

Objective. One of the important aspects of maintaining the efficient operation of information systems is the condition of computer equipment. The purpose of the study is to describe a method for effective system analysis of the state of a computer's information storage device. Method. The study is based on the use of machine learning algorithms to analyze and interpret data obtained from SMART tests. Includes a comprehensive analysis and experimental study. It involves conducting experiments with a data set and the Google Colab cloud environment, creating and analyzing a machine learning model, and evaluating the effectiveness and quality of training. Result. A tool for assessing the state of computer equipment based on the Random Forest algorithm has been developed using historical data from SMART tests. Conclusion. The results not only allow the implementation of a working data analysis tool in the field of computer equipment maintenance, but also contain a practical example of increasing the reliability and efficiency of information systems. The results are useful for IT specialists and for organizations optimizing equipment maintenance processes and increasing competitiveness.

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