Saudi Arabian Oil Company

Avitas Systems, Inc.

General Electric Company

Mustafa Uzunbas

David Scott Diwinsky

Ayman Amer

Ser Nam Lim

Vincent Cunningham

Ahmad Aldabbagh

Muhammad Ababtain

Ali Al Shehri

Ali Shehri

Mustafa Devrim Kaba

John Boot

Godine Kok Yan Chan

A system for predicting corrosion under insulation (CUI) in an infrastructure asset includes at least one infrared camera positioned to capture thermal images of the asset, at least one smart mount supporting and electrically coupled to the at least one infrared camera and including a wireless communication module, memory storage, a battery module operative to recharge the at least one infrared camera, an ambient sensor module adapted to obtain ambient condition data and a structural probe sensor to obtain CUI-related data from the asset. At least one computing device has a wireless communication module that communicates with the at least one smart mount and is configured with a machine learning algorithm that outputs a CUI prediction regarding the asset. A cloud computing platform receive and stores the received data and the prediction output and to receive verification data for updating the machine learning algorithm stored on the computing device.

Cloud-based machine learning system and data fusion for the prediction and detection of corrosion under insulation

Machine learning system and data fusion for optimization of deployment conditions for detection of corrosion under insulation

Growing community of inventors

Niskayuna, NY, United States of America

Mustafa Uzunbas