Research on failure state identification method of wellhead device based on acoustic emission technology

Aiming at the difficulty of identifying the failure state of wellhead structure, a method of monitoring and identifying the failure state of wellhead device is proposed. The minimum envelope entropy is used as the fitness function of GWO to optimize VMD parameters K and a. The retained IMF is selected according to the spectral characteristics, energy and correlation, and the interference of noise and irrelevant components is removed. The time domain, frequency domain and entropy eigenvalues were extracted from the signal after de-noising reconstruction, and the extracted eigenvalues were dimensionally reduced by PCA to obtain the main eigenvalues containing signal information. Finally, the signal was classified and recognized by support vector machine (SVM). The experimental results show that this method can identify the damage of wellhead equipment effectively.