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针对汽轮机转子故障分类问题,采用模糊数学和自组织特征映射神经网络方法诊断汽轮机转子的故障。该方法具有结构算法简单、无监督自学习和侧向联想等功能。经故障实例验证是一种十分有效的汽轮机转子故障分类方法。
Aiming at the fault classification of steam turbine rotor, the fault diagnosis of steam turbine rotor is diagnosed by fuzzy mathematics and self-organizing feature map neural network. The method has such advantages as simple structure and algorithm, unsupervised self-learning and lateral association. Fault instance verification is a very effective method for classification of turbine rotor faults.