【摘要】 文中介绍了一种基于GCAQBP学习算法的神经网络模型,并将该模型应用于电梯故障诊断系统。阐述了该模型的基本原理、神经网络的结构、学习算法,并应用该模型对电梯的几种典型故障进行了实际的诊断运行。诊断结果表明,该算法具有较好的收敛速度、学习能力和鲁棒性,其诊断结果精度高,结论可靠。更多还原

【Abstract】 This paper introduces a kind of neural network model that is used in fault diagnosis of the elevator system based on GCAQBP algorithm. The basic theory of the model, neural network structure and learning algorithm are expounded. Using this model, the actual diagnosis is processed to some typical elevator faults. The diagnostic result shows that this algorithm,characterized by fine convergent speed, fast learning ability and robust property,reaches the conclusion precisely and credibly.更多还原