Date Download Description

FAMOS and Monitoring

Monitoring Services


State-of-the-art condition monitoring

SmartPlatform combines and updates three Curtiss-Wright advanced condition monitoring applications into a single, flexible, anomaly detection solution.

  1. Predictive Pattern Recognition (PdP), a similarity-based application presently deployed across multiple power generation fleets.
  2. Equipment Anomaly Detection (EAD), a neural-network based predictive engine that utilizes a long-short term memory (LSTM) neural network implementation to include the time series data and multiple digital states in diagnosing equipment behavior.
  3. StressWave*, a sensor-based, vibro-acoustic monitoring system and associated diagnostic tools currently detecting precursor conditions prior to equipment damage on diverse assets such as power plants, steel mills, military equipment, safety relief valves and more.

SmartPlatform provides real time data collection, processing, and storage of results, as well as supporting model maintenance and storage of model configuration data. Real time alarms and diagnostic tools are provided to end users by a web-based graphical user interface (GUI). PdP and EAD model configuration and training are accomplished on a Windows based client networked to the SmartPlatform Server.

While any of the three applications can be applied independently, leveraging their capabilities can provide superior equipment protection. Each has its merits for providing early warning utilizing only traditional condition monitoring sensors, which typically do not register changes until conditions are primed to produce at least a minimal amount of equipment damage. In contrast, StressWave monitoring identifies conditions before damage occurs.

*: StressWave has replaced Stress Wave Analysis (SWAN) technology. Curtiss-Wright continues to provide support for our legacy solutions.