{"title":"Keynote 3: Monitoring of Low Voltage Networks through Devices Operation-Specific Frequency Features","authors":"Sheroz Khan","doi":"10.1109/icsima50015.2021.9526292","DOIUrl":null,"url":null,"abstract":"Dynamic objects under given operational conditions oscillate with a frequency referred to as natural frequency. Such objects oscillate with an amplitude higher than those under non-resonant conditions. Similarly, when they find other fishing objects in their vicinity, objects oscillating at their natural frequencies create a unique set of complex signals that may be used for fishing objects’ specific features. Depending on the size, shape, material composition, and orientation, such complex signals constitute a kind of signature RF that may be used to detect and track the given object. When turned ON (or OFF), electrical equipment items create unique frequency components that may be used similar to fingerprinting to detect this equipment under malfunction or normal function conditions. Large-scale systems such as the emerging hybridized electrical grids generate complex signals under sometimes malicious control commands. Such complex signals may be analyzed to be recognized as a unique set of frequency components. If injected into electrical grids and other similar large-scale hybrid physical and cyber installations under certain situations, such signals may prove to put the systems into devastating conditions.","PeriodicalId":404811,"journal":{"name":"2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icsima50015.2021.9526292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Dynamic objects under given operational conditions oscillate with a frequency referred to as natural frequency. Such objects oscillate with an amplitude higher than those under non-resonant conditions. Similarly, when they find other fishing objects in their vicinity, objects oscillating at their natural frequencies create a unique set of complex signals that may be used for fishing objects’ specific features. Depending on the size, shape, material composition, and orientation, such complex signals constitute a kind of signature RF that may be used to detect and track the given object. When turned ON (or OFF), electrical equipment items create unique frequency components that may be used similar to fingerprinting to detect this equipment under malfunction or normal function conditions. Large-scale systems such as the emerging hybridized electrical grids generate complex signals under sometimes malicious control commands. Such complex signals may be analyzed to be recognized as a unique set of frequency components. If injected into electrical grids and other similar large-scale hybrid physical and cyber installations under certain situations, such signals may prove to put the systems into devastating conditions.