Fault tolerance of CNC software based on artificial neural network

This paper proposes an efficient method for realizing the fault tolerance of CNC software with the introduction of artificial neural network (ANN) to the design filed of CNC software. In addition, function aspects (velocity, acceleration, chord error, real time, prediction accuracy) from the experiment on Non-Uniform Rational B-Spline (NURBS) interpolator based on ANN were evaluated in detail. Our experimental results showed that the NURBS interpolation based on ANN not only meet the requirements of function aspects, but also can realize fault tolerance technology, which may provide a new strategy in the improvement of the reliability of CNC software.