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个人信息Personal Information
教授 硕士生导师
招生学科专业：
教育管理 -- 【招收硕士研究生】 -- 人文与社会科学学院
课程与教学论 -- 【招收硕士研究生】 -- 外国语学院
外国语言文学 -- 【招收硕士研究生】 -- 外国语学院
英语笔译 -- 【招收硕士研究生】 -- 外国语学院
主要任职：校学术委员会委员，校教学委员会委员
其他任职：江苏省翻译协会常务理事，江苏省外国语言学会理事，外语教学技术专委会理事
性别：男
毕业院校：四川大学，上海外国语大学
学历：上海外国语大学
学位：文学博士学位
所在单位：外国语学院/教务处
办公地点：将军路校区东区外语楼401
联系方式：liucj@nuaa.edu.cn
电子邮箱：
Immune SVM used in wear fault diagnosis of aircraft engine
点击次数：
所属单位：民航学院
发表刊物：Beijing Hangkong Hangtian Daxue Xuebao
摘要：Aircraft engine is wearing during its service life and will finally break down. The wear fault can be diagnosed by analyzing the ferrography data of oil monitoring. The use of immune algorithm optimized support vector machine (SVM) in aircraft engine wear fault diagnosis was researched in this paper. First, the process and algorithm of SVM and immune algorithm were summarized. Then, the optimization of SVM's penalty factor, slack variable and kernel function parameters by immune algorithm was researched. The verification results of an engine's oil ferrography analysis data and adding noise data show that the method can effectively diagnose the aircraft engine wear fault and has good robustness. Finally, the impact of kernel function, multi-classification decision method, initial population size, affinity calculation formula, optimization algorithm and normalization method on diagnosis accuracy was analyzed, and the best algorithm was achieved. © 2017, Editorial Board of JBUAA. All right reserved.
ISSN号：1001-5965
是否译文：否
发表时间：2017-07-01
合写作者：李艳军,曹愈远,张丽娜
通讯作者：刘长江