英語 での Predictive maintenance の使用例とその 日本語 への翻訳
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This technology convergence will play an important role in predictive maintenance too.
Taking predictive maintenance even further, algorithms based on big data can be used to predict future equipment failures.
Predictive maintenance can even make use of algorithms based on big data to predict future equipment failures.
For instance, in a connected building, data can be used to save energy and for predictive maintenance.
Minimize damages that occur due to collision and make use of predictive maintenance of machine tool spindle.
Minimize damages caused by collisions and make use of predictive maintenance for machine tool spindles.
The monitoring of the moisture in lubrication oil is of paramount importance for the long-term performance and predictive maintenance of the machinery.
The show showcases the latest IoT solutions ranging from device development, elemental technology, edge computing, remote monitoring, production management and predictive maintenance.
The IIoT uses machine to machine(M2M) technology to support everything from remote monitoring and telemetry to predictive maintenance.
Through the foresight provided by an IoT integrated refrigeration unit, management will be able to schedule predictive maintenance on their units.
Digital twins are accelerating product and process development, optimizing performance, and enabling predictive maintenance.”.
In particular, as you will be notified in stages, you will know that"it's almost time for replacement" and contribute to predictive maintenance.
Some of the use cases that Microsoft targets include running local machine learning models for anomaly detection and predictive maintenance scenarios.
Protocol translation, predictive maintenance, smart servicing, live video and virtual reality with data glasses: MICA helps you organise servicing more effectively and save costs.
Downtimes increase operating costs for fleet operators- ZF's predictive maintenance function adjusts maintenance intervals to actual use, thus avoiding unnecessary costs.
Predictive maintenance(PdM) is based around the collection of data from a wide range of sensors, building a statistical model that can identify potential failures before they happen.
In this case, the ZF predictive maintenance system arranges a service appointment and places the order with another vehicle. Maintenance intervals are calculated in the ZF cloud in real time on the basis of actual usage data.
Similar to predictive maintenance, anomaly detection saves time and money by alerting operators when equipment is not performing the way it should and indicating where the problem originated.
By moving to predictive maintenance, companies can avoid the expense of unnecessarily replacing equipment, as well as lost revenue that can range from $80,000 to $465,000 daily, according to our customer.
The Predictive Maintenance Kits consist of a predefined set of wear parts for the most common service operations, in line with the maintenance schedules of your excavator attachment.