Application of neural computation to sound analysis for valve diagnosis

Describes a method of compressor valve diagnosis in which a neural network was applied to analyze valve plate sound. A neural network approach to pattern recognition was considered. The system reduces the load of neural networks in function representation and function learning by using appropriate preprocessing methods, for instance the Mahalanobis generalized distance. The resulting system requires only a small-scale neural network, is capable of extracting the invariant features, and attains an extremely high recognition accuracy