C. Zhao, Wei Pang, K. Han, Beimin Xie, Huaidong Guo
{"title":"Study on The Characteristics of Reactor Core Vibration Acoustic Signal under Different Excitation","authors":"C. Zhao, Wei Pang, K. Han, Beimin Xie, Huaidong Guo","doi":"10.1109/EI250167.2020.9347292","DOIUrl":null,"url":null,"abstract":"The vibration and noise produced in the operation of power reactor contain a lot of state information of the equipment, and the deformation of its internal structure will cause the abnormality of vibration signal and acoustic signal in the abnormal working state, which provides important characteristic parameters for the uninterrupted detection of the equipment. Starting from the vibration and noise of the reactor core, the vibration and noise signals of the core under the normal working conditions of power frequency and the excitation of harmonic and DC magnetic bias abnormal working conditions are measured by establishing the vibration and noise test platform of the core model, and the correlation analysis and comparison of the vibration and noise data after the Fourier transform are carried out by using the three-dimensional waterfall diagram. The test results show that the frequency-domain distribution of the noise signal of the iron core under different excitation varies significantly. The noise signal can represent the operation state information of the iron core reflected by the vibration signal, and the Pearson correlation coefficient of the vibration and noise data reaches 0.701, showing a strong positive correlation.","PeriodicalId":339798,"journal":{"name":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EI250167.2020.9347292","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
The vibration and noise produced in the operation of power reactor contain a lot of state information of the equipment, and the deformation of its internal structure will cause the abnormality of vibration signal and acoustic signal in the abnormal working state, which provides important characteristic parameters for the uninterrupted detection of the equipment. Starting from the vibration and noise of the reactor core, the vibration and noise signals of the core under the normal working conditions of power frequency and the excitation of harmonic and DC magnetic bias abnormal working conditions are measured by establishing the vibration and noise test platform of the core model, and the correlation analysis and comparison of the vibration and noise data after the Fourier transform are carried out by using the three-dimensional waterfall diagram. The test results show that the frequency-domain distribution of the noise signal of the iron core under different excitation varies significantly. The noise signal can represent the operation state information of the iron core reflected by the vibration signal, and the Pearson correlation coefficient of the vibration and noise data reaches 0.701, showing a strong positive correlation.