ENN-based recognition method for tool cutting state

In order to accurately and quickly identify the tool cutting state, a new recognition method based on extension neural network (ENN) is proposed in this paper. The related theories, the structure design of ENN and the recognition algorithm are discussed in detail. To demonstrate the effectiveness of the proposed method, a real-world engineering application is tested. Some comparative experiments with traditional ANN-based methods are conducted. The experimental results show that the proposed ENN-based recognition method can identify the state of cutting tool accurately with shorter learning time and simpler structure. The experimental results also confirm that the proposed method has a better performance in recognition accuracy, generalization ability and fault-tolerant ability.