Preventive maintenance is a well-established industrial approach where scheduled interventions are performed to maintain equipment reliability and avoid unplanned downtime.
With the rise of AI and the ability to process large volumes of sensor and performance data, maintenance strategies evolved. Predictive maintenance took this further, allowing systems to forecast failures and schedule part replacements before breakdowns happen.
But these methods are only focused on detecting failure risk.
Prescriptive Maintenance goes far beyond this static approach.
AI models are now being trained not only to monitor and predict, but to act. Prescriptive maintenance allows systems to actively adjust machine settings like temperature, speed, or load in real time to reduce wear and delay the need for service in the first place.
And it does this without impacting performance.
This intelligent, closed-loop approach is gaining traction as the next evolution of maintenance. One where AI is not just a monitor, but a participant in maximizing uptime and equipment lifespan.
