AI Powered Predictive Maintenance: The Future of Factory Efficiency

Описание: Predictive maintenance uses advanced AI algorithms to monitor machinery in real time, analysing data from sensors to predict potential failures before they happen. This reduces costly downtime and ensures that production schedules stay on track. In 2025, AI powered sensors will be even more precise with the ability to monitor every component in a factories machinery, motors, pumps, conveyors and more. These sensors can also detect subtle changes in vibration, temperature or sound that signal an impending failure. A key example of predictive maintenance in action is Siemens Minesphere platform, which uses AI to provide actionable insights and recommendations for maintenance teams. By preventing unplanned downtime, manufacturers can not only save costs, but also improve the lifespan of their machinery, making the factory more sustainable.