Failure and Anomaly Prediction

Anastasia Failure
and Anomaly Prediction

Detect anomalies before they stop an operating asset, minimizing economic impact and maximizing utilization

Predicción-de-Fallas-y-Anomalías-(AFA)

Anastasia Failure
and Anomaly Prediction

Detect anomalies before they stop an operating asset, minimizing economic impact and maximizing utilization

Anastasia Failure and Anomaly Prediction

Anastasia Failure and Anomaly Prediction (AFA) solution for predictive maintenance allows to mathematically model the normal operation condition of systems / machines and to early predict, with high effectiveness, possible failures using both historical information and the richness that sensors and different monitoring technologies provide. The right prediction allows prioritizing resource usage and maintenance expenditure, reducing unplanned plant / production stops and maximizing the availability of assets.

Anastasia Failure and Anomaly Prediction

FUNCTIONS

Asset health and failure anticipation

Constant monitoring of asset status, based on telemetry data, enables machine learning models to be used for failure predictions, anomaly scores, and maintenance expense projections with high levels of accuracy.

Operating costs visibility

Lets you streamline workflow by defining maintenance packages so planners efficiently group high-priority work, scheduling it at the most appropriate time in the team's operating cycle.

Understand inventory impact and challenges

It allows the inventory of parts and pieces for maintenance to be managed more efficiently by anticipating the need for them in a rational way, according to what is suggested by the AI, challenging the experience or inexperience of the inventory manager.

Detect frozen capital

Enables informed and supported decision making to replace assets, using their risk scores.

Plant/production anomaly detection

Increases the level of utilization, or reduction of inactivity, due to the identification and maintenance of equipment with high risk of failure and productive and economic impact.