Detection and diagnosis method is proposed for surface damage in immersed structures. It is based on noncontact ultrasonic\nechography measurements, signal processing tools, and artificial intelligence methods. Significant features are extracted from the\nmeasured signals and a classification method is developed to detect the echoes resulting from surface damage in an immersed\nstructure.The identification of the damage is also provided. Gaussian neural networks trained with a specific learning algorithm are\ndeveloped for this purpose. The performance of the method is validated by laboratory experiments which indicate that this method\ncould be suitable for the monitoring of inaccessible systems like marine turbines whose unavailability causes severe economic losses.
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