Analytics for 350+ equipment types, featuring quick setup, and Digital Twins built to prevent failures, saving time and costs.
$1.6B+
Customer production and mechanical losses avoided
3.41
Months is the average customer return on investment (ROI)
$60M
The average loss avoided per notification alert
Watch how EDP uses SmartSignal to optimize their generation portfolio
Verdantix Analyzes Software Vendors Delivering Transformative AI Analytics Solutions
Anomaly detection models compare sensor readings to a particular machine’s normal, predicted values for all relevant parameters, such as load, temperatures, pressures, vibration readings, and ambient conditions. SmartSignal detects and identifies events and abnormal behavior by the differences between real-time actual data and predicted, normal behavior— not by thresholds on actual values.
Anomaly notifications are compared with precursor signatures based upon pattern and persistence, using data from over 19,500 rotating, fixed, mobile and electrical assets. Notifications provide prioritized diagnostics with a localized, apparent cause for each developing problem and advisories, supported by charts of pattern differences, so users can track and diagnose the developing failures.
Forecasting using multiple analytics and desired time windows, engineers can forecast when the equipment will reach an alarm limit and require immediate remediation. With this intelligence, teams can prioritize and schedule corrective actions to avoid downtime at minimal cost. Time-to-action analysis can be applied independently any time to forecast future maintenance needs.
