Examples of using Predictive maintenance in English and their translations into Vietnamese
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Colloquial
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Ecclesiastic
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Computer
An important aspect is predictive maintenance because unplanned downtime due to a defect usually results in high costs.
Using cognitive insights from the cloud, Schaeffler will enhance its predictive maintenance systems for railways,
Predictive maintenance systems can uncover issues that can result in waste before they arise.
Furthermore, predictive maintenance systems inform technicians about the changes they need to do to the system based on symptoms.
Advanced analytics: Setting up predictive maintenance involves collecting sensor data from diverse machinery.
Also see: smart packaging, predictive maintenance and other innovations, from farm to fork.
repair options with their clients, and provide packages to accommodate predictive maintenance.
Improved performance over time: Predictive maintenance systems are learning systems.
For this reason, Predictive Maintenance has become a common goal amongst manufacturers, drawn by its many benefits including
Schaeffler offers expandable complete solutions for Predictive Maintenance 4.0 with components, systems, and digital services for the monitoring and lubrication of a wide range of machines.
Industrial producers cannot implement Machine Learning predictive maintenance solutions across multiple facilities by hiring Big Data scientists or engineers to perform analytical functions.
Predictive maintenance is a valuable application of the Internet of Things that helps reduce maintenance costs, increase asset availability, and improve customer satisfaction
Furthermore, when predictive maintenance is performed using decisions based on threshold values,
faster decision-making, prevents costly errors, and enables the implementation of cost-saving measures such as predictive maintenance.
When a predictive maintenance strategy is working effectively, maintenance is only
Predictive maintenance diagnostic tools give you insight into the state of your equipment and expert advice on how to optimise it, enabling you to manage proactively.
allowing more accurate forecasting to take place and better predictive maintenance routines.
However, there are almost no other systems that use advanced data-based analysis methods such as machine learning and also eliminate the need for human operation to realize a highly advanced predictive maintenance service.
use in industry today, Applebaum said predictive maintenance is the principal application for the technology, followed closely by quality control,
With applied predictive maintenance, an airline can reduce expenses connected with expedited transportation of parts,