Reduce unplanned downtime and improve maintenance planning.
AIR is a general condition-based monitoring tool that monitors shutdown behavior and compares it to previous shutdowns and shutdowns of redundant machine set-ups. AIR notifies the first line engineer about abnormal behavior and gives them the opportunity to provide feedback.
AIR reduces unplanned downtime from diverse equipment and improves maintenance planning, thus reducing cost.
AIR monitors mid-term deviations in a two-month window to determine slope changes in certain periods.
Run outlier detection to compare data points over set periods of time to determine deviations in a known data bin.
Continuously evaluate unlimited time series data, ensuring rapid response to developing trends and deviations (short, medium and long term).
Automatically detect changes in behavior, with timely notifications as soon as events occur to reduce risk of further damage to the equipment.
Automatically detect differing behavior between parallel machines, thereby bringing attention to it as soon as it occurs and reducing risk of future damage to equipment.
Allow the user to easily add data to be evaluated and scale with no or very limited user configuration, to almost any number of time series.
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