Extraction algorithm of complicated avionics fault diagnosis rules based on rough sets

摘要：

　　With the problem of lacking fault samples of complicated avionics,in order to simplify test process and improve diagnosis efficiency,a method for extracting diagnosis rules based on rough set was promoted.A fault diagnosis decision-making information system was constructed to calculate all reductions of test-parameter-set by building decision-making distinguishing matrix and decision-making distinguishing functions of the fault diagnosis information system,so that the fault diagnosis rules can be extracted.For example,the method for extracting diagnosis rules was used in the diagnosis of some RF system,with the result that 9 test parameters used for diagnosis were reduced to 3.The result of the study shows that the method can efficiently reduce the test-parameter-set and extract fault diagnosis rules under the condition of small sample.And it is helpful for simplifying test process and improving the diagnosis ability.

关键词： Rough Set Small-sample Avionics Fault Diagnosis Extraction Algorithm

作者: Zhao Xin Cheng Jinjun Huang Hanqiao Yuan Huanhuan

作者单位: ATS Lab.,Air Force Engineering University,Xian,710038,China the 660th Research Institute of AVIC,Nanchang,330024,China

会议类型: 国际会议

会议名称: The Fifth International Symposium on Test Automation & Instrumentation(2014第五届国际测试自动化与仪器仪表学术会议)

会议地点: 北京

会议语种:英文

页码: 174-179

在线出版日期: 2014-09-23（万方平台首次上网日期，不代表论文的发表时间）