{"title":"多普勒微波振动传感器的正交变换信号处理","authors":"D. Khablov","doi":"10.1109/DSPA51283.2021.9535807","DOIUrl":null,"url":null,"abstract":"The paper describes a promising method for processing signals from Doppler microwave displacement sensors for contactless diagnostics of vibrations. In this case, the active irradiation of the object with electromagnetic waves and the separation of phase changes using two-channel quadrature processing of the received reflected signal are used. Such competitive advantages of the method as remote operation, accurate analysis of displacements in units of length without preliminary calibrations are noted. The advantages of this method of vibration analysis for the study of complex dynamic objects, including non-stationary ones, as well as for machine learning with the aim of using them in the diagnosis of working mechanisms, are described.","PeriodicalId":393602,"journal":{"name":"2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Signal Processing of Doppler Microwave Vibration Sensors with Quadrature Transformation\",\"authors\":\"D. Khablov\",\"doi\":\"10.1109/DSPA51283.2021.9535807\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes a promising method for processing signals from Doppler microwave displacement sensors for contactless diagnostics of vibrations. In this case, the active irradiation of the object with electromagnetic waves and the separation of phase changes using two-channel quadrature processing of the received reflected signal are used. Such competitive advantages of the method as remote operation, accurate analysis of displacements in units of length without preliminary calibrations are noted. The advantages of this method of vibration analysis for the study of complex dynamic objects, including non-stationary ones, as well as for machine learning with the aim of using them in the diagnosis of working mechanisms, are described.\",\"PeriodicalId\":393602,\"journal\":{\"name\":\"2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSPA51283.2021.9535807\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 23rd International Conference on Digital Signal Processing and its Applications (DSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPA51283.2021.9535807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Signal Processing of Doppler Microwave Vibration Sensors with Quadrature Transformation
The paper describes a promising method for processing signals from Doppler microwave displacement sensors for contactless diagnostics of vibrations. In this case, the active irradiation of the object with electromagnetic waves and the separation of phase changes using two-channel quadrature processing of the received reflected signal are used. Such competitive advantages of the method as remote operation, accurate analysis of displacements in units of length without preliminary calibrations are noted. The advantages of this method of vibration analysis for the study of complex dynamic objects, including non-stationary ones, as well as for machine learning with the aim of using them in the diagnosis of working mechanisms, are described.