{"title":"基于神经网络的点火系统故障诊断研究","authors":"Jian Linsha, Z. Guoping","doi":"10.1109/IVEC.1999.830671","DOIUrl":null,"url":null,"abstract":"Adopting the theory and technology of a neural network, an ignition waveform based fault diagnosis neural network expert system (NNES) of an ignition system is built. This paper analyses the function and structure, knowledge acquisition and representation, reasoning technology and strategy of the NNES, and gives the models of the NNES.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"2157 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The research about fault diagnosis of ignition system with neural network\",\"authors\":\"Jian Linsha, Z. Guoping\",\"doi\":\"10.1109/IVEC.1999.830671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adopting the theory and technology of a neural network, an ignition waveform based fault diagnosis neural network expert system (NNES) of an ignition system is built. This paper analyses the function and structure, knowledge acquisition and representation, reasoning technology and strategy of the NNES, and gives the models of the NNES.\",\"PeriodicalId\":191336,\"journal\":{\"name\":\"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)\",\"volume\":\"2157 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVEC.1999.830671\",\"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 IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVEC.1999.830671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The research about fault diagnosis of ignition system with neural network
Adopting the theory and technology of a neural network, an ignition waveform based fault diagnosis neural network expert system (NNES) of an ignition system is built. This paper analyses the function and structure, knowledge acquisition and representation, reasoning technology and strategy of the NNES, and gives the models of the NNES.