摘要：Extension neural network is a new type of neural network that combines extension theory and artificial neural network. Extension neural network has been applied to pattern recognition, fault diagnosis and clustering. According to fault characteristics of rolling bearing, we propose a fault diagnostic method for rolling bearing based on extension neural network. We construct the fault diagnosis model based on extension neural network along with the learning algorithm, which are then applied to fault recognition of rolling bearing. Simulation experiment indicates that this algorithm is easy to implement and has small training error and fast convergence speed. The algorithm has both theoretical and practical value.
关键词：Extension neural network; Extension theory; Fault diagnosis; Learning ; algorithm; Model; Rolling bearing; Sample training
