AI-based Predictive Maintenance System is a powerful tool that can help the maintenance & reliability professionals to streamline the extraction of actionable information from the machine health and performance data,
to improve the overall manufacturing operations.
An automated AI-based Predictive Maintenance solution can prevent asset failures and unplanned downtime. It consists of IIoT hardware that connects physical assets to each other, and an advanced analytics platform
that analyzes the complex machine data to predict failures and prevent unplanned downtime. AI-based Predictive Maintenance solutions ensure remote condition monitoring and facilitate proactive asset maintenance.
The goal of an automated AI-based predictive maintenance system is to maintain & improve the performance of critical industrial assets, resulting in fewer failures, reduced downtime, increased production and improved workplace safety. The AI-based system uses machine output data, including historical performance as well as real-time contextual data, and analyses it using machine learning algorithms to notify maintenance and reliability professionals of the maintenance needs of different equipment sets
Furthermore, it helps companies save time as it eliminates the need for manual inspection checks or trips to the shop floor for diagnostics. It also improves the workplace safety for engineers and technicians by collecting automatically data from the machines in complex and hard-to-reach places.
MRO (maintenance repair operations) is a prospective candidate for AI/ML-based predictive and adaptive maintenance solutions to reduce downtime of assets while improving asset utilization.
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Increase operational efficiency with our proactive maintenance strategies. We use AI to detect equipment issues before they lead to downtime.