{"title":"基于小波分析的大型振动筛侧板裂纹故障诊断研究","authors":"Q. Zhu, Han Wang","doi":"10.2991/ICMMCCE-15.2015.370","DOIUrl":null,"url":null,"abstract":"The paper takes side panel cracks of large-scale vibrating screen as research object. The side panel vibration signals have been de-noised and the wavelet packet energy feature has been extracted in Matlab with wavelet analysis theory. Meanwhile, the fault characteristics is sent to genetic neural network for identification. The practical manufacturing application shows that this kind of side panel crack fault diagnosis system of large-scale vibrating screen based on wavelet analysis has high fault recognition ability, classification precision and speed.","PeriodicalId":270248,"journal":{"name":"International Congress of Mathematicans","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Side Panel Crack Fault Diagnosis Research of Large-scale Vibrating Screen Based on Wavelet Analysis\",\"authors\":\"Q. Zhu, Han Wang\",\"doi\":\"10.2991/ICMMCCE-15.2015.370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper takes side panel cracks of large-scale vibrating screen as research object. The side panel vibration signals have been de-noised and the wavelet packet energy feature has been extracted in Matlab with wavelet analysis theory. Meanwhile, the fault characteristics is sent to genetic neural network for identification. The practical manufacturing application shows that this kind of side panel crack fault diagnosis system of large-scale vibrating screen based on wavelet analysis has high fault recognition ability, classification precision and speed.\",\"PeriodicalId\":270248,\"journal\":{\"name\":\"International Congress of Mathematicans\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Congress of Mathematicans\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/ICMMCCE-15.2015.370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Congress of Mathematicans","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ICMMCCE-15.2015.370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Side Panel Crack Fault Diagnosis Research of Large-scale Vibrating Screen Based on Wavelet Analysis
The paper takes side panel cracks of large-scale vibrating screen as research object. The side panel vibration signals have been de-noised and the wavelet packet energy feature has been extracted in Matlab with wavelet analysis theory. Meanwhile, the fault characteristics is sent to genetic neural network for identification. The practical manufacturing application shows that this kind of side panel crack fault diagnosis system of large-scale vibrating screen based on wavelet analysis has high fault recognition ability, classification precision and speed.