Examples of using Predictive maintenance in English and their translations into Greek
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
including the SAP Predictive Maintenance and Service solution, SAP Connected Logistics software
Among all the technologies, predictive maintenance is probably the most valued, since it is applicable to existing assets and management systems.
Avoid Unplanned Maintenance Implement predictive maintenance to predict future equipment malfunctioning
In stamping, sensors built in to the machines collect data to prevent breakdown risks and facilitate predictive maintenance.
preparing it to be used for the more advanced techniques of optimization, predictive maintenance and forecasting described previously.
Among all the technologies, predictive maintenance is probably a relatively“easier win” since it is applicable to existing assets and management systems.
while offering predictive maintenance for them.
Furthermore, the comparison of own production units' performance to similar units in the region was a main point of discussion to watch the operating point regarding predictive maintenance.
Get actionable predictive maintenance information that protects your customers,
analytical services such as predictive maintenance and energy monitoring.
energy efficiency and predictive maintenance- invariably save money in the long run.
Moreover, the SAM 4.0 enables the compressed air station to take advantage of future services such as predictive maintenance.
data analytics to enable predictive maintenance, planned interventions or even remote technical support.
ONYX InSight is a new predictive maintenance brand giving wind turbine owners
also lays the foundation for predictive maintenance and enables energy management in accordance with ISO 50001.
as well as predictive maintenance and planned interventions.
a pioneer in predictive maintenance solutions.
Castrol and Romax Technology set up joint venture to grow wind turbine predictive maintenance business.
customers can move to a predictive maintenance model, minimizing potential downtime