APPLICATION OF ARTIFICIAL INTELLIGENCE IN PREDICTIVE MAINTENANCE OF INDUSTRIAL EQUIPMENT
Keywords:
artificial intelligence, predictive maintenance, industrial equipment, machine learning, reliability engineeringAbstract
The article analyzes application of artificial intelligence in predictive maintenance of industrial equipment. AI-based predictive maintenance reduces unexpected failures by analyzing sensor data, vibration signals, temperature deviations, and operational history. The approach supports condition-based maintenance and improves the reliability of industrial equipment. The aim of the study was to evaluate the technical, functional, and practical significance of this approach in modern engineering systems. The study used analytical review, comparative assessment, and synthesis of current engineering literature. The results show that the investigated technology improves operational efficiency, reliability, safety, and sustainability. The findings may be useful for engineers, researchers, and managers involved in the modernization of industrial and technological processes.
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