Industrial Maintenance
Industrial maintenance is the process of implementing processes to reduce breakdowns, increase uptime, and promote overall reliability.
In other words, maintenance is the general process of ensuring that assets are kept in good working condition.
When a piece of equipment keeps running at its expected capacity, production operations are likewise sustained. Having a maintenance plan reduces maintenance costs, maximizes uptime potential, and ultimately increases profitability.
Repairing failed components after a failure is not a sustainable maintenance plan.
In addition to the high servicing costs, this approach puts you at a higher risk of unscheduled downtime from a sudden, unexpected failure.
Predictive Maintenance
Predictive maintenance, also referred to as condition-based maintenance, involves performance monitoring and equipment condition monitoring during regular operations to reduce the chances of a breakdown.
Predictive maintenance uses data analysis to identify operational anomalies and potential equipment defects, enabling timely repairs before failures occur.
Predictive maintenance relies heavily on technology and software, particularly the integration of IoT, artificial intelligence, and integrated systems.
Information is gathered through sensors, industrial controls, and business software like EAM and ERP. This data is then processed to pinpoint areas needing attention, with techniques such as vibration analysis, oil analysis, thermal imaging, and equipment observation serving as examples.
What we offer
As Nucleo we provide predicive maintenance analysis based on data acquired by our sensors and sensors onboard the assets as well as maintenance and production data acquired from the ERP software.
We offer customized solutions for your assests based on machine learning algorithms and long term evaluated data.
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