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Equipment Anomaly Detection
Created by Arizona Public Service (APS) employees at Palo Verde Nuclear Power Plant, Equipment Anomaly Detection (EAD) technology uses machine learning to detect anomalies in plant equipment and systems, allowing operators to improve performance and prevent failures. Through an exclusive agreement with APS, Curtiss-Wright has added this EAD technology to the FAMOS suite of thermal plant performance and condition monitoring solutions. The EAD platform is currently in production with a new release scheduled for Fall 2020.
Benefits
Using advanced artificial intelligence (AI) technology, the EAD platform uses machine learning to monitor plant equipment and systems and automatically identify abnormal conditions or activity.
The Equipment Anomaly Detection technology offers rapid detection of potential issues - before they cause problems to plant equipment or systems. By enabling preventative maintenance practices, the EAD platform allows plants to increase efficiency and reliability while improving performance and reducing costs.
EAD technology supports equipment condition monitoring applications as well as plant-wide modernization and digitalization strategies.
News Announcement
BREA, CA – January 31, 2020 – Curtiss-Wright Corporation announced it has signed an exclusive agreement with Arizona Public Service Company (APS) to commercialize APS’s equipment anomaly detection (EAD) technology... Read more
Case Study
Learn how Exelon used the FAMOS thermal performance and condition monitoring suite to consolidate their resources while also increasing their performance visibility - allowing them to improve their capabilities while lowering costs.
Case Study
Find out how SaskPower used Curtiss-Wright's Fleet Asset Management and Optimization Solutions (FAMOS) thermal performance and monitoring suite to optimize man-hours and reduce unexpected outages.
Case Study
Discover how the WA Parish Generating Station improved plant performance by integrating Curtiss-Wright's Fleet Asset Management and Optimization Solutions (FAMOS) suite with other applications, revealing subtle anomalies and power losses.
