Fault Diagnosis Based on Alpha-Distribution Function PNN
Weihua Zhang · Control Engineering of China · 2010
A modified probabilistic neural network named alpha-stable distributions basis function probabilistic neural network(Alpha-PNN) is proposed.The activation functions of network hidden neurons adopt probability density function of symmetric alpha-stable distributions.Compared with routine gauss distribution function,it has better variability and tractility,so hidden neurons have high adaptability in terms of function approximation.Meanwhile,it overcomes the assumption that input data is independent and identically distributed.And it also improves neural network approximation ability of partial pulse burst.A fault diagnosis algorithm based on input data and output data is proposed,which is applied to the bearing fault diagnosis.The simulation results indicate that this algorithm can achieve good recognizing effects and have low false positive ratio than PNN with the assumption of colored noise.