关键词: 符号有向图, 模型, 主元分析, 神经网络, 专家系统, 危险与可操作性分析

Abstract: There is high complexity and risk in caprolactam plant，so it is necessary to develop an online safety operation guidance system with fault diagnosis as core，which can help operator’s operation. In this paper，a fault detection and diagnosis model for the entire caprolactam plant was built based on qualitative and quantitative fault diagnosis methods，such as signed directed graph (SDG)，fuzzy logic，principal component analysis (PCA)，Artificial Neural Network(ANN) and expert system. Based on the characteristics of process and failure mode of caprolactam plant，the expert knowledge database with root reason，propagation path and treatment measures of the fault was built by combining Hazard and Operability Analysis results with expert experience. At last，a Caprolactam Plant Safety Operation Guidance System was established and used in the caprolactam plant with good performance.

Key words: signed directed graph, model, principle component analysis, artificial neural network, expert system, hazard and operability analysis