Xuedong Xue, Xude Cheng, Le Zhang, Weixin Zhang, Yingbing Chen
{"title":"基于Multisim的导弹电子回收设备维修识别专家系统知识获取方法","authors":"Xuedong Xue, Xude Cheng, Le Zhang, Weixin Zhang, Yingbing Chen","doi":"10.1109/ICAIT.2017.8388889","DOIUrl":null,"url":null,"abstract":"In view of the outstanding problems in the recovery of a kind of missile electronic equipment, such as the effective use of repairable equipment, the loss of equipment and the seriousness of pollution, the expert system of maintenance and identification of missile electronic recovery equipment has been developed, while the knowledge acquisition has become the key issue that the expert system need to solve. This paper presents a method of obtaining expert system knowledge by using Multisim circuit simulation software and circuit principle analysis and expert experience. The circuit board fault simulation method is given in detail, and a fault simulation example is given, and the fault diagnosis expert system software development based on SVM is completed. Experiments show that the expert system knowledge base constructed by this method can effectively improve the fault diagnosis speed and recognition rate of expert system.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Knowledge acquisition method of the expert system for maintenance and identification of missile electronic recycling equipment based on Multisim\",\"authors\":\"Xuedong Xue, Xude Cheng, Le Zhang, Weixin Zhang, Yingbing Chen\",\"doi\":\"10.1109/ICAIT.2017.8388889\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In view of the outstanding problems in the recovery of a kind of missile electronic equipment, such as the effective use of repairable equipment, the loss of equipment and the seriousness of pollution, the expert system of maintenance and identification of missile electronic recovery equipment has been developed, while the knowledge acquisition has become the key issue that the expert system need to solve. This paper presents a method of obtaining expert system knowledge by using Multisim circuit simulation software and circuit principle analysis and expert experience. The circuit board fault simulation method is given in detail, and a fault simulation example is given, and the fault diagnosis expert system software development based on SVM is completed. Experiments show that the expert system knowledge base constructed by this method can effectively improve the fault diagnosis speed and recognition rate of expert system.\",\"PeriodicalId\":376884,\"journal\":{\"name\":\"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIT.2017.8388889\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIT.2017.8388889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge acquisition method of the expert system for maintenance and identification of missile electronic recycling equipment based on Multisim
In view of the outstanding problems in the recovery of a kind of missile electronic equipment, such as the effective use of repairable equipment, the loss of equipment and the seriousness of pollution, the expert system of maintenance and identification of missile electronic recovery equipment has been developed, while the knowledge acquisition has become the key issue that the expert system need to solve. This paper presents a method of obtaining expert system knowledge by using Multisim circuit simulation software and circuit principle analysis and expert experience. The circuit board fault simulation method is given in detail, and a fault simulation example is given, and the fault diagnosis expert system software development based on SVM is completed. Experiments show that the expert system knowledge base constructed by this method can effectively improve the fault diagnosis speed and recognition rate of expert system.