MANUFACTURING


of operational downtime Predictive maintenance, powered by sensors, IoT and AI, allows for continuous real-time equipment monitoring and data analysis, enabling repairs or maintenance at the optimal time, before issues arise.


Predict to prevent: Predictive maintenance reduces the risk


P


redictive maintenance presents a major leap for smart manufacturing, creating a shift away from the preventative and reactive maintenance paradigms to a more cost-effective approach that reduces expensive equipment damage and costly early repairs. Unlike traditional maintenance that responds passively to breakdowns or follows  takes a proactive approach by basing            


Three must-haves for predictive maintenance


  levels to create an effective and intelligent  collecting and monitoring data from     where AI and machine learning can perform  


Real-time data collection and monitoring


   


30 MAY 2026 | ELECTRONICS FOR ENGINEERS


  


Edge computing and IIoT       rapidly with edge nodes and transmit pertinent data to the central system    


AI and machine learning AI and machine learning are where the    analysis by AI and machine learning    


 optimisation helps predictive maintenance foresee potential problems and provide recommendations on the best maintenance   


Which industries use predictive maintenance?


    


Manufacturing


          


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