Qichao Qin, Youpeng Chen, Zhuogeng Qin, Chaoqun Tu
{"title":"电动汽车驱动系统故障诊断专家系统研究","authors":"Qichao Qin, Youpeng Chen, Zhuogeng Qin, Chaoqun Tu","doi":"10.1145/3524889.3524909","DOIUrl":null,"url":null,"abstract":"Diagnosing the fault source of the electric vehicle (EV) drive system quickly and accurately is important to improve the safety and reliability of the EV. In the paper, according to the structure and fault characteristics of the EV drive system, a fault diagnosis method of the EV drive system based on expert system was proposed. The knowledge base of the expert system is established in the form of rules, and the inference engine of the expert system is designed based on the forward inference method of database. Using Visual Studio and SQLServer, a fault diagnosis expert system for EV drive system is established. The results show that the system can give accurate diagnosis results and maintenance strategy, with good versatility and practicability.","PeriodicalId":129277,"journal":{"name":"Proceedings of the 2022 7th International Conference on Intelligent Information Technology","volume":"168 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on fault diagnosis expert system of the electric vehicle drive system\",\"authors\":\"Qichao Qin, Youpeng Chen, Zhuogeng Qin, Chaoqun Tu\",\"doi\":\"10.1145/3524889.3524909\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Diagnosing the fault source of the electric vehicle (EV) drive system quickly and accurately is important to improve the safety and reliability of the EV. In the paper, according to the structure and fault characteristics of the EV drive system, a fault diagnosis method of the EV drive system based on expert system was proposed. The knowledge base of the expert system is established in the form of rules, and the inference engine of the expert system is designed based on the forward inference method of database. Using Visual Studio and SQLServer, a fault diagnosis expert system for EV drive system is established. The results show that the system can give accurate diagnosis results and maintenance strategy, with good versatility and practicability.\",\"PeriodicalId\":129277,\"journal\":{\"name\":\"Proceedings of the 2022 7th International Conference on Intelligent Information Technology\",\"volume\":\"168 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 7th International Conference on Intelligent Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3524889.3524909\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 7th International Conference on Intelligent Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3524889.3524909","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on fault diagnosis expert system of the electric vehicle drive system
Diagnosing the fault source of the electric vehicle (EV) drive system quickly and accurately is important to improve the safety and reliability of the EV. In the paper, according to the structure and fault characteristics of the EV drive system, a fault diagnosis method of the EV drive system based on expert system was proposed. The knowledge base of the expert system is established in the form of rules, and the inference engine of the expert system is designed based on the forward inference method of database. Using Visual Studio and SQLServer, a fault diagnosis expert system for EV drive system is established. The results show that the system can give accurate diagnosis results and maintenance strategy, with good versatility and practicability.