基于BP神经网络的沼气工程故障诊断专家系统

Expert system for fault diagnosis of biogas project based on BP neural network

针对传统专家系统的知识获取困难、推理能力差、智能水平低和实用性差等缺点,阐述了BP神经网络运用于农村沼气工程故障诊断专家系统的设计思想,应用专家系统与数据结构的有关知识和面向对象的设计方法,设计了农村沼气工程故障诊断专家系统知识库,提高了农村沼气工程故障诊断效率,为故障诊断专家系统的知识库设计提供科学有效的方法.

In allusion to the insufficiencies such as difficulties in knowledge acquisition, weak inference capability, low intelligence level and bad practicality of traditional expert systems, the paper introduces de- sign concepts of BP neural network applies to expert system for fault diagnosis of rural biogas project. This expert system is based on these questions, which are faced in using marshal system,and it makes design model for the biogas engineering of rural curtilage. Furthermore, it explains those questions and gives some division to support, some information for being looked for, resolving method, and so on.