Underdetermined blind source separation of pipeline leak vibration signals based on empirical mode decomposition and joint approximate diagonalization of eigenmatrices

作者：Sun Jiedi^*; Xiao Qiyang; Wen Jiangtao; Yang Yiguang

来源：Journal of Vibroengineering, 2015, 17(3): 1326-1340.

• pipeline leak vibration signal detection
• underdetermined blind source separation (UBSS)
• empirical mode decomposition (EMD)
• joint approximate diagonalization of eigenmatrices (JADE)

A variety of undesired vibrations and noise are usually mixed in high-pressure and sub-high-pressure gas pipeline leak vibration signals. For effectively separating leak vibration signals so that the leak aperture can be identified and localized, an underdetermined blind source separation method is proposed based on the empirical mode decomposition (EMD) and the joint approximate diagonalization of eigenmatrices (JADE). Leak vibration signals were collected by different sensors and then decomposed by the EMD, and multiple intrinsic mode functions (IMFs) were obtained. By calculating the IMF kurtosis values and normalizing them, the characteristic IMFs that contain most of useful leak vibration information were chosen. These characteristic IMFs were reconstructed, and the reconstructed vibration signal and the originally observed signals formed a new matrix. The new observation matrix was used to realize the separation of vibration signals with the JADE algorithm and to solve the underdetermined blind separation problem. Experimental data analysis results show that the proposed method can extract leak signals effectively.

• 出版日期2015-5
• 单位燕山大学