基于模糊理论的黑体炉系统故障诊断的设计及实现

Design and Realization of Fault Diagnosis for a Black-body Furnace System Based on a Fuzzy Theory

为了实现黑体炉系统已发故障或潜在故障的快速高效诊断,根据黑体炉系统运行特性,建立了多库多层次方式的知识库,并采用黑体炉故障类型诊断的反向推理和故障,原因分析及故障消除措施正向推理相结合的混合推理机制,设计了总体目标推理和级目标推理相结合的推理机。应用效果表明,黑体炉故障诊断专家系统的预报准确率较高,具有较大的实用性。

To realize a rapid and high-efficiency diagnosis of existing faults or potential ones in a black-body furnace system a knowledge base assuming the form of multiple bases and levels has been set up on the basis of the operating characteristics of the said system.By employing a hybrid reasoning mechanism an inference machine was designed,based on the combination of an overall target reasoning and a grade or level target reasoning.The hybrid reasoning combines the inverse reasoning of black-body fault type diagnosis on the one hand and the positive-direction inference featuring fault-cause analysis and measures for fault elimination on the other.The effectiveness of the hybrid reasoning mechanism being put to use indicates that the expert system of black-body furnace fault diagnosis can ensure a relatively high prediction accuracy and has a rather high practical value in relevant applications.