نوع مقاله : مقاله پژوهشی
نویسندگان
1 دکتری زبان انگلیسی، دانشکده زرهی نزسا، دانشگاه افسری و تربیت پاسداری امام حسین (ع)، تهران، ایران.
2 دانشجوی دکتری فناوری اطلاعات و ارتباطات، دانشکده زرهی نزسا، دانشگاه افسری و تربیت پاسداری امام حسین (ع)، تهران، ایران.
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Predictive maintenance is increasingly playing a vital role in industrial environments due to the need to reduce downtime, optimize operational efficiency, and manage machinery wear and tear. Artificial intelligence (AI) as a key technology plays a crucial role in improving predictive maintenance, as it enables more accurate prediction of equipment failures and optimization of maintenance schedules. This paper examines the role of AI in predictive maintenance, focusing on machine learning and deep learning algorithms, their implementation in industrial environments, and real-world case studies that demonstrate their effectiveness. The integration of AI-based predictive maintenance systems significantly reduces costs, extends equipment life, and ensures uninterrupted production processes and efficiency of specialized equipment.
کلیدواژهها [English]
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