{"title":"矢量量化故障诊断系统及其在电磁阀中的应用","authors":"Sheng Zhang, T. Asakura, S. Hayashi","doi":"10.1109/SICE.2002.1195436","DOIUrl":null,"url":null,"abstract":"This paper is concerned with fault diagnosis using vector quantization of sound signals and its application to electromagnetic valves. Instead of establishing a mathematical model, the vector quantization directly extracts characteristic vectors from sample data by optimized algorithms and uses these characteristic vectors as standard patterns to make fault diagnosis. An application to electromagnetic valve verified the effectiveness of this new method.","PeriodicalId":301855,"journal":{"name":"Proceedings of the 41st SICE Annual Conference. SICE 2002.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fault diagnosis system using vector quantization and its application to electromagnetic valve\",\"authors\":\"Sheng Zhang, T. Asakura, S. Hayashi\",\"doi\":\"10.1109/SICE.2002.1195436\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper is concerned with fault diagnosis using vector quantization of sound signals and its application to electromagnetic valves. Instead of establishing a mathematical model, the vector quantization directly extracts characteristic vectors from sample data by optimized algorithms and uses these characteristic vectors as standard patterns to make fault diagnosis. An application to electromagnetic valve verified the effectiveness of this new method.\",\"PeriodicalId\":301855,\"journal\":{\"name\":\"Proceedings of the 41st SICE Annual Conference. SICE 2002.\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 41st SICE Annual Conference. SICE 2002.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SICE.2002.1195436\",\"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 41st SICE Annual Conference. SICE 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2002.1195436","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault diagnosis system using vector quantization and its application to electromagnetic valve
This paper is concerned with fault diagnosis using vector quantization of sound signals and its application to electromagnetic valves. Instead of establishing a mathematical model, the vector quantization directly extracts characteristic vectors from sample data by optimized algorithms and uses these characteristic vectors as standard patterns to make fault diagnosis. An application to electromagnetic valve verified the effectiveness of this new method.