{"title":"基于语义的生产线设备故障诊断机制研究","authors":"Daoqu Geng, Xinshuai Fu","doi":"10.1109/ICEIEC49280.2020.9152301","DOIUrl":null,"url":null,"abstract":"At present, the fault diagnosis information of production line equipment has information dispersion, which is difficult to share and reuse. This paper proposes a diagnostic management system based on semantic knowledge, which diagnoses faults through ontology and rules. At the same time, the description of the uncertainty information in the fault diagnosis process is described. Introduce the fuzzy theory based on the analysis of ontology in the field of fault diagnosis. Experimental results prove that the method has a good fault diagnosis effect.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Research on Fault Diagnosis Mechanism of Production Line Equipment Based on Semantic\",\"authors\":\"Daoqu Geng, Xinshuai Fu\",\"doi\":\"10.1109/ICEIEC49280.2020.9152301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present, the fault diagnosis information of production line equipment has information dispersion, which is difficult to share and reuse. This paper proposes a diagnostic management system based on semantic knowledge, which diagnoses faults through ontology and rules. At the same time, the description of the uncertainty information in the fault diagnosis process is described. Introduce the fuzzy theory based on the analysis of ontology in the field of fault diagnosis. Experimental results prove that the method has a good fault diagnosis effect.\",\"PeriodicalId\":352285,\"journal\":{\"name\":\"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEIEC49280.2020.9152301\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIEC49280.2020.9152301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Fault Diagnosis Mechanism of Production Line Equipment Based on Semantic
At present, the fault diagnosis information of production line equipment has information dispersion, which is difficult to share and reuse. This paper proposes a diagnostic management system based on semantic knowledge, which diagnoses faults through ontology and rules. At the same time, the description of the uncertainty information in the fault diagnosis process is described. Introduce the fuzzy theory based on the analysis of ontology in the field of fault diagnosis. Experimental results prove that the method has a good fault diagnosis effect.