论文部分内容阅读
针对大型汽轮发电机组振动故障的特点，提出了一种基于改进算法的ＢＰ网络故障诊断模型，并对一实际汽轮发电机组振动故障事例进行诊断，结果表明，该方法是行之有效的。
Aimed at the characteristics of vibration faults of large turbo - generator sets, a BP neural network fault diagnosis model based on improved algorithm is proposed. The diagnosis of an actual turbo - generator vibration fault is diagnosed. The results show that this method is effective.