Automated Fault Detection identifies and diagnoses faults within your systems without waiting on someone to notice something's wrong.
AFD relies on algorithms, machine learning, and sensor data to continuously monitor the performance and health of everything from industrial machinery to HVAC systems and software applications. By analyzing data in real time, it flags anomalies that point to a developing issue well before it becomes a failure.
Sensors installed on equipment collect data on temperature, pressure, vibration, and other operational metrics. WatchPost uses the AVEVA PI System as an independent data-processing layer, where sophisticated algorithms detect patterns and deviations from normal operating conditions.
Real-time analysis across every connected system, not a periodic check that misses what happens in between.
Learns from historical data and adapts to new patterns, improving detection accuracy over time.
Detailed reports and alerts go straight to maintenance personnel, or integrate with your other enterprise systems.
Catching issues early minimizes both downtime and maintenance costs, and extends the life of your assets.
The WatchPost AFD solution helps organizations maintain optimal performance, reduce unexpected breakdowns, and extend the lifespan of their assets.
Schedule a demo and DSA's WatchPost team will walk through what automated fault detection could look like for your equipment.