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作 者:张建宇[1] 高立新[1] 崔玲丽[1] 孙志宏[1]
机构地区:[1]北京工业大学北京市先进制造技术重点实验室机电学院,北京100022
出 处:《冶金设备》2006年第2期19-21,42,共4页Metallurgical Equipment
摘 要:以高速线材轧机齿轮箱故障诊断系统为应用背景,探讨了基于案例的推理方法,研究了构建齿轮箱故障诊断系统的关键技术,最终制订出相应的设计方案。依据故障的特征属性和内容将齿轮箱故障案例按照不同轧机和架次分类,从而将整个案例库划分成了多个代表不同齿轮箱的案例集。在案例检索中,通过加权平均算法找到相应案例库中与目标案例最相似的案例,实现了对高速线材轧机齿轮箱故障的智能诊断。Based on the case - based reasoning technology, the design scheme for the high speed wire rolling mills diagnosis system is made out. In expression and management of case and construction of knowledge base with case - based technology, the fault case of gearbox in high speed wire rolling mill is classified by different sorties according to the demand of fault diagnosis expert system and the peculiarity of this kind of gearbox. Using hamming Arithmetic, the similarity is calculated to find the nearest case in the relevant case base. Consequently, the intelligence fault diagnosis of gearbox for the high speed wire rolling mill is realized. Based on above research, the conceptual model and physical model are founded and tbe prototype of the system is completed.
分 类 号:TG333.15[金属学及工艺—金属压力加工]
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