Examples of using Predictive maintenance in English and their translations into Vietnamese
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Predictive maintenance(based on condition monitoring).
This solution is based on a real world predictive maintenance system for a major airline.
Predictive maintenance service providing support in a medical setting.
Extend service intervals and reduced downtimes- these become possible with predictive maintenance.
Predictive maintenance- Identify electrical and mechanical problems before they cause failure.
For this solution,we used Hitachi's Global e-Service on TWX-21/ Predictive Maintenance Service.
Also see: smart packaging, predictive maintenance and other innovations, from farm to fork.
VA is a key component of a Condition Monitoring(CM) program,and is often referred to as Predictive Maintenance(PdM).
Predictive maintenance relies on the insights gained with continuous equipment condition monitoring.
In March, the carrier announced its cooperation with Airbus under a five-year predictive maintenance partnership program.
Predictive maintenance systems can uncover issues that can result in waste before they arise.
Through this process, the Sentinel Analytics predictive maintenance service for superconducting MRI systems was completed.
Predictive maintenance evaluates the condition of equipment by performing periodic(offline) or continuous(online) equipment condition monitoring.
Thanks to sensors and connectivity,products will be enriched by services(such as predictive maintenance) or even transformed into services.
Advanced analytics: Setting up predictive maintenance involves collecting sensor data from diverse machinery.
For instance, you produce distribution transformers enhanced with oil level and temperature sensors andprovide Predictive Maintenance services to your customers.
Then, they can implement predictive maintenance and repair, or swap out parts on a planned basis well before failure.
That is why it is highly recommended that all grounds and ground connections are checkedat least annually as a part of your normal Predictive Maintenance plan.
Although predictive maintenance used to exist in only a handful of industries, the application of PdM solutions is rapidly expanding.
Once in the cloud,the data is used for cognitive prognostics(that is, predictive maintenance, forensic failure analysis and process optimization).
This predictive maintenance capability, knowing about issues before they become serious problems, is just one of the many benefits of digital systems.
With more and more systems shipping with Internet connectivity,the concept of predictive maintenance is likely to expand exponentially in the Internet of things.
For this reason, Predictive Maintenance has become a common goal amongst manufacturers, drawn by its many benefits including significant reductions in the impact of the Six Big Losses.
However, there are almost no other systems that use advanced data-based analysis methods such as machine learning and also eliminate the need forhuman operation to realize a highly advanced predictive maintenance service.
An important aspect is predictive maintenance because unplanned downtime due to a defect usually results in high costs.
AI realism will spread in the coming years because of its ability to interpret the massive amounts of data that IoT devices provide,allowing more accurate forecasting to take place and better predictive maintenance routines.
When a predictive maintenance strategy is working effectively, maintenance is only performed on machines when it is required, thus reducing the parts and labor costs associated with replacements.
Looking at the current state of machine learning use in industry today,Applebaum said predictive maintenance is the principal application for the technology, followed closely by quality control, demand forecasting and robot training.
Furthermore, when predictive maintenance is performed using decisions based on threshold values, failure in many cases can only be detected immediately prior to its onset, requiring“corrective maintenance” after a breakdown occurs.