Acoustic Emission Signal Characteristics of Atmospheric Tank Corrosion based on Genetic Algorithm

The corrosion state of tank floor and mobile vessel is one of the important factors that determine the efficiency of oil and gas storage and transportation, and its corrosion form is very complicated. Using acoustic emission (AE) monitoring technology to monitor its safety, generally can only qualitatively judge its corrosion characteristics, and there are many interference factors. This paper mainly studies the characteristics of atmospheric tank corrosion acoustic signal based on Genetic algorithm (GA). In this paper, genetic matching tracking algorithm is used to solve this problem. The corrosion signal waveform sampling points collected by the AE monitoring system can be well reconstructed by using the matching tracking algorithm to match the signal waveform. GA is used to optimize the matching tracking algorithm, and the projection of signal or signal residual on the atom is taken as the fitness function of GA to determine the best matching atom of the matching tracking algorithm. It can be seen from the experimental results that crack corrosion is the best method to detect the acoustic signal characteristics of tank corrosion by using GA, and the gap between sample data and field data is the smallest, both below 0.1.