SINGLE CHANNEL BLIND SOURCE SEPARATION FOR GAS REGULATORS ACOUSTIC SIGNAL USING EEMD-FASTICA
The gas pressure regulator (GPR) is an important equipment in the gas pipeline network and fault detection of the gas pressure regulator is essential.Recently,an acoustic-emission-based method has been proposed for gas pressure regulator fault detection,while the single-channel signal of the regulator is mixed-signal due to the vibration of other components like pipes and pilot.In this paper,a single channel blind source separation (SCBSS) algorithm based on ensemble empirical mode decomposition (EEMD) and fast independent component analysis (FastICA) is introduced for gas regulators acoustic emission signal.The algorithm can solve the problem of mixed-signal and recover the source signal of GPR.The degree of the signals frequency center (FC) change when fault occurs evaluates the performance of algorithm.The experimental result show that it has been improved 53.06%,from 294Hz to 450Hz.
Gas regulator Single channel blind source separation Ensemble empirical mode decomposition Fast independent component analysis
Sheng-guo LI Zi-hao LI Yu-ling WANG Yao LIU Tao-tao CHEN Song-ling TAN Zheng SU Min GAO Fei JIANG Hong-lang LI
Beijing Gas Grp Co Ltd, Beijing, P.R.China, 100035 Institute of Acoustics, Chinese Academy of Sciences, Beijing, P.R.China, 100190;University of Chines Institute of Acoustics, Chinese Academy of Sciences, Beijing, P.R.China, 100190 National Center for Nanoscience and Technology, Beijing, P.R.China, 100190
国际会议
石家庄
英文
422-425
2019-11-01（万方平台首次上网日期，不代表论文的发表时间）