Anomaly Detection

Anomaly Detection

iQunet sensors are designed specifically for effective asset health monitoring by performing interval-based measurements—such as hourly or daily—instead of traditional quarterly or annual checks. This approach ensures continuous collection of comprehensive full-spectrum data (1), securely stored on your local iQunet Server (2). By analyzing this extensive data set, consistent trends emerge, enabling you to quickly identify shifts in equipment behavior and implement timely corrective actions.

To enhance your data analysis, iQunet offers a specialized Anomaly Detection Service. When you subscribe to this service, your historical data is automatically compressed and securely transferred one time to iQunet’s Machine Learning Servers (3). Here, an advanced anomaly detection model (autoencoder) (4) is generated. This tailored model is then returned and stored directly on your local iQunet Server (5), ensuring ongoing, subscription-based local anomaly monitoring. Any new measurements significantly deviating from the established model are immediately flagged as anomalies, tracked, and highlighted.

Using the intuitive iQunet Sensor Dashboard, you can visualize anomaly trends, customize alarm thresholds, and deeply analyze associated spectral data through our powerful analytical software.

iQunet’s embedded AI-powered Anomaly Detection Service within the iQunet Edge software delivers a seamless, ready-to-use solution, providing precise insights and proactive maintenance capabilities—AI as a Service at your fingertips.