模糊支持向量机在船舶发电机故障诊断中的优化应用  

Optimal application of fuzzy support vector machine in fault diagnosis of ship generator

作　　者：王国柱 李伟 WANG Guo-zhu;LI Wei(School of Electrical Engineering and Automation,Henan Institute of Technology,Xinxiang 453003,China;Henan Zhong Fang Quality Inspection Technology Co.,Ltd,Jiaozuo 450000,China;Weihua Group,Changyuan 453400,China)

机构地区：[1]河南工学院电气工程与自动化学院,河南新乡453003 [2]河南中方质量检测技术有限公司,河南焦作450000 [3]卫华集团,河南长垣453400

出　　处：《舰船科学技术》2021年第18期133-135,共3页Ship Science and Technology

基　　金：河南省科技攻关项目(212102210139);河南工学院高层次人才科研启动基金项目(KQ1806)

摘　　要：对以往提出方法的优点进行总结,在故障诊断中对模糊支持向量机进行优化应用,提出一种优化诊断方法。基于模糊支持向量机进行发电机故障分类,构建模糊故障分类模型。利用故障仿真模型获取各种发电机故障的对应电流信号,将电流信号中的特征量设为模型的四维输入向量。根据模糊故障分类模型的分类结果和船舶发电机历史运行数据,建立故障诊断融合识别框架。根据建立的故障诊断融合识别框架,将故障诊断过程分为4个步骤进行船舶发电机的实际故障诊断。对模糊支持向量机的优化应用进行实例研究,测试结果证明其优化应用实现了有效的故障诊断,验证了设计方法的有效性。Summarize the advantages of the previous methods,optimize the application of fuzzy support vector machine in fault diagnosis,and propose an optimized diagnosis method.Fuzzy support vector machine is used to classify generator faults,and a fuzzy fault classification model is constructed.The fault simulation model is used to obtain the corresponding current signals of various generator faults,and the characteristic quantities in the current signals are set as the four-dimensional input vector of the model.According to the classification results of the fuzzy fault classification model and the historical operating data of ship generators,a fault diagnosis fusion recognition framework is established.According to the established fault diagnosis fusion recognition framework,the fault diagnosis process is divided into four steps for actual fault diagnosis of ship generators.A case study of the optimization application of fuzzy support vector machine is carried out.The test results prove that the optimization application of the fuzzy support vector machine realizes effective fault diagnosis,and the validity of the design method is verified.

关 键 词：模糊支持向量机 融合识别框架 船舶发电机 信任函数 故障诊断 

分 类 号：TK413.4[动力工程及工程热物理—动力机械及工程]