基于逻辑蕴涵算子的汽轮机故障诊断研究  

Research on fault diagnosis method for steam turbine based on logical implication operator

作　　者：夏阳 于鹏[1] XIA Yang;YU Peng(School of Mathematics and Data Science,Shaanxi University of Science and Technology,Xi’an 710021,China)

机构地区：[1]陕西科技大学数学与数据科学学院,陕西西安710021

出　　处：《西安理工大学学报》2023年第1期60-68,95,共10页Journal of Xi'an University of Technology

基　　金：国家自然科学基金资助项目(61871260);陕西科技大学博士科研启动基金项目(2019BJ-41)。

摘　　要：针对汽轮机的振动故障诊断问题,从样本距离的逻辑可解释性入手,通过聚合逻辑蕴涵算子的方式,在单值中智集间引入了一种基于逻辑蕴涵算子的距离模式,实现了对汽轮机的振动故障诊断。同时,通过比较分析验证了该方法的正确性与可行性。相关结果表明,基于逻辑蕴涵算子的汽轮机振动故障诊断方法是一种行之有效的故障诊断方法。Aiming at the problem of vibration fault diagnosis of steam turbine,starting from the logical interpretability of sample distance,by aggregating logical implication operator,a distance model based on logical implication operator is introduced between single-valued neutrosophic sets,realizing the vibration fault diagnosis of steam turbines.At the same time,the correctness and feasibility of the method are verified by comparative analysis.The related results show that the method for steam turbine vibration fault diagnosis based on logical implication operator is effective.

关 键 词：单值中智集 聚合函数 故障诊断 汽轮机 

分 类 号：TK268[动力工程及工程热物理—动力机械及工程]