The study in this paper is a new way to dete ct faults in a pile pier structure based on artificial neural networks. The basic strategy is to train a neural network to recognize the behavior of the undamaged pile pier structure as well as the behavior of the structure with various possible damage states. The network trained on data from finite-element simulation of the pile pier structure can be used to detect faults in the structure itself.