Curtiss-Wright has signed an exclusive agreement with Arizona Public Service Company (APS) to commercialize APS’s equipment anomaly detection (EAD) technology.
APS’s EAD technology uses machine learning to detect anomalies in plant equipment and systems, allowing operators to improve performance and prevent failures. "The value of this technology is that it identifies potential issues in important components so they can be addressed before a problem arises. It cuts costs, increases efficiency and brings value to any operation that depends on sophisticated technology,” said Jack Cadogan, APS Senior Vice President, Site Operations for the Palo Verde Generating Station, the nation’s largest nuclear power plant.
Curtiss-Wright will add the EAD technology to its suite of thermal plant performance and condition monitoring platforms.