摘要
针对大型机组的状态监测与故障诊断问题 ,为了克服单一故障诊断方法的局限性 ,对现有的大型设备故障诊断方法作了分析之后 ,提出一种基于区间值模糊神经网络的诊断方法。该方法根据设备故障诊断的不同阶段 ,利用基于规则库、区间值模糊集理论、模糊神经网络和模糊模式识别等方法。该方法在某炼油厂重催化机组故障诊断中得到了具体应用。
In order to improve the ability of condition monitoring and fault diagnostic system, a fault diagnostic method based on interval value fuzzy neural networks for condition monitoring and fault diagnosis of in large machinery is proposed. This method integrates different intelligent diagnostic techniques, includes knowledge sets, interval value fuzzy sets, fuzzy neural networks and fuzzy pattern recognition. By emulation test, the method has been applied to fault diagnosis in large machinery of some refinery.
出处
《汽轮机技术》
北大核心
2000年第5期257-262,共6页
Turbine Technology
关键词
故障诊断
模糊神经网络
专家系统
旋转机械
fault diagnosis
fuzzy neural network
interval value fuzzy sets
expert syste`
