Patent ID: 7072874

Claim:
A method of training an artificial neural network for detecting damage of a vibrating structure, said method comprising the steps of: a) recording two time-average holograms of a vibrating structure each comprised of a first number of pixels; b) providing tiles serving as large pixels predetermined from the geometry of the vibrating structure; c) sub-sampling each of two time-average holograms within said large pixels to extract a second number of pixel for each of said two time-average holograms; d) subtracting corresponding second pixels of each of said two time-average holograms to generate a sub-sampled characteristic pattern; e) delivering said sub-sampled characteristic pattern to a folding routine which scales the second pixels comprising said sub-sampled characteristic pattern in accordance with said second pixels locations in an intensity range and provides a representative output to serve as a training record; f) repeating said steps a), b), c), d) and e) until a predetermined number of training records are obtained; and g) delivering said predetermined number of training records to train an artificial neural network, said artificial neural network being trained to compare the characteristic patterns comprising said training records against each other with differences therebetween being indicative of detecting said damage of said vibrating structure.