Inspection and failure detection of corrosion under fireproofing insulation using a hybrid sensory system

A system for predicting and detecting of corrosion under fireproof insulation (CUF) in an infrastructure asset comprising:

• a first detection apparatus adapted to capture thermal images of the asset;
• a second detection apparatus adapted to receive THz radiation from the asset;
• at least one ambient condition sensor for detecting environmental conditions at a location of the asset;
• a communication device coupled to the first and second detection apparatus and at least one ambient condition sensor to receive data therefrom and adapted to communicate the received data;
• and
• a computing device communicatively coupled to the communication device and configured with instructions for executing a machine learning algorithm taking as inputs the thermal image, THz and ambient condition data received from the communication device, and to output a CUF prediction regarding the asset;
• wherein the prediction distinguishes locations on the asset that have a high likelihood of CUF from those having a low likelihood of CUF.