Study On Denoising Of Corrosion Acoustic Emission Signals Of Tank Bottom

Oil has become a kind of indispensable resource to human society, so people pay more and more attention to the problem of storage safety. The main device for oil storage is large tank, therefore, safety detection of tank is very important. Bottom part of tank is most difficult to be detected, the most commonly used methods are: ultrasonic detection, eddy current detection, magnetic flux leakage detection, magnetic particle detection, penetrant detection, radiation detection and so on, however, these traditional methods have such disadvantages as: time-consuming, high cost, and can not achieve real time detection. Acoustic emission detection technology can overcome these disadvantages, which is also an non-destructive testing technology and gradually put into wide use. Therefore, this paper studies the application of acoustic emission detection in corrosion detection of tank bottom, and processes signals from experiment.This paper introduces basic principles of tank bottom corrosion acoustic emission detection and studies types, causes and influence factors of tank bottom corrosion acoustic emission signals. During detection processing noise signal types are summarized, kinds of methods for denoising noise signals are also introduced, such as frequency identification, amplitude identification, software identification and space identification. At the same time, by comparing different modern signal processing methods, independent component analysis is finally used and fastICA algorithm is used to achieve denoising of tank corrosion acoustic emission signals. Finally, it is used to achieve separation of mixture composed of double exponential model acoustic emission signal. Separation results demonstrate that fastICA algorithm can effectively separate the mixture.PIC-2 acoustic emission acquisition system is used to conduct experiment study and corrosion acoustic emission platform is built in this paper. The experiment uses 10% FeCl3·6H2O solution as corrosion solution. During experiment process, waveforms of corrosion acoustic emission signals are recorded real-time in order to be processed in order to obtain exact information. Experiment results demonstrate that: corrosion acoustic emission signals can be divided into three types: burst, continuous and mixed, and events of acoustic emission signals show different trends during the corrosion continues, and with the increasement of corrosion time, the number of acoustic emission events also increase. The experiment result can be a reference of corrosion acoustic emission detection for actual tank bottom.