An approach to machine maintenance with neural network

An approach to machine maintenance with a nonlinear dynamical network is proposed. It is proved that the dynamical network used can approximate any system. Only mild conditions are imposed. An adaptive procedure for estimating required parameters is presented. Test results show that the approach is very efficient. It can model the system behavior and can be used to classify faults and to predict future behavior