{"title":"脉冲噪声下齿轮箱故障信号的盲源分离","authors":"Yu Xiangmei, S. Tong","doi":"10.1109/ICICTA.2015.71","DOIUrl":null,"url":null,"abstract":"Aiming at the shortage of blind source separation (BSS) in processing gearbox fault signals under α stable distribution impulse noise, a new BSS algorithm based on fractional lower order (FLO) S time-frequency distribution was proposed in this paper. In this algorithm fault signals of gearbox were prewhitened in FLO subspace, then S time frequency transform for prewhitened lower-order signals were performed, finally the source signals were restored via joint approximate diagonalization. Simulation results show that the proposed algorithm can effectively restrain impulse noise influence, the BSS effect is good and robust.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Blind Source Separation of Gearbox Fault Signals under Impulse Noise\",\"authors\":\"Yu Xiangmei, S. Tong\",\"doi\":\"10.1109/ICICTA.2015.71\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the shortage of blind source separation (BSS) in processing gearbox fault signals under α stable distribution impulse noise, a new BSS algorithm based on fractional lower order (FLO) S time-frequency distribution was proposed in this paper. In this algorithm fault signals of gearbox were prewhitened in FLO subspace, then S time frequency transform for prewhitened lower-order signals were performed, finally the source signals were restored via joint approximate diagonalization. Simulation results show that the proposed algorithm can effectively restrain impulse noise influence, the BSS effect is good and robust.\",\"PeriodicalId\":231694,\"journal\":{\"name\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2015.71\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2015.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind Source Separation of Gearbox Fault Signals under Impulse Noise
Aiming at the shortage of blind source separation (BSS) in processing gearbox fault signals under α stable distribution impulse noise, a new BSS algorithm based on fractional lower order (FLO) S time-frequency distribution was proposed in this paper. In this algorithm fault signals of gearbox were prewhitened in FLO subspace, then S time frequency transform for prewhitened lower-order signals were performed, finally the source signals were restored via joint approximate diagonalization. Simulation results show that the proposed algorithm can effectively restrain impulse noise influence, the BSS effect is good and robust.