【摘要】 本文利用神经元网络模型中的反向传播算法,对某电力系统中的某厂站,建立了BP模型,以进行故障分析处理.该神经元处理器采用C语言编译,在IBM/PC/AT机上运行良好.实验结果证明:神经元网络法在用于故障分析时具有快速并行处理、模糊判断、自学习等优点,是一种可行的方法.更多还原

【Abstract】 In a large power system, it is time-consuming to process a large amount of alarm signals and the possible unknown alarm signal patterns can make the processing even more difficult. A new alarm processing method based on the artificial neural network and an associated system have been developed. As the artificial neural network is capable of handling uncertainty and performing parallel distributed processing, it is found that the method proposed is quite successful. Satisfactory results have been obtained in a thermal power plant alarm signal processing.更多还原