This article analyzes modern methods of fault detection in technological machines using artificial intelligence (AI) on a scientific basis. Early detection of faults and increasing production efficiency through vibration and acoustic analysis, thermal monitoring, computer vision, IoT integration and predictive maintenance systems are highlighted. The advantages of AI models, technical infrastructure requirements, practical applications and problems are systematically described.

artificial intelligence, technological machine, fault detection, vibration analysis, thermal monitoring, IoT, predictive maintenance, computer vision, machine learning, production diagnostics

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