Leakage acoustic wave feature extraction method based on fusion of wavelet transform and blind source separation algorithm

• Main Authors: Hu Qihui, Fang Liping, Han Jinke, Liang Jie, Liu Cuiwei, Zhang Yuqian, Li Yuxing, Liang Jinlu, Shi Haixin, Geng Xiaoru
• Format: Patent
• Language: Chinese; English
• Published: 31.08.2016
• Subjects: BLASTING; HEATING; LIGHTING; MECHANICAL ENGINEERING; PIPE-LINE SYSTEMS; PIPE-LINES; STORING OF DISTRIBUTING GASES OR LIQUIDS; WEAPONS

The invention discloses a leakage acoustic wave feature extraction method based on fusion of wavelet transform and the blind source separation algorithm. The method comprises the following steps that an acoustic wave sensor is used for collecting leakage acoustic wave signals and acquiring leakage acoustic wave collection signals; multilayer wavelet decomposition is carried out on the leakage acoustic wave collection signals through wavelet transform, corresponding approximate signals are sequentially obtained through all layers of wavelet decomposition, the leakage acoustic wave collection signals and the approximate signals are used as observation signals, and the observation signals are processed through the blind source separation algorithm to obtain target signals; and the target signals obtained in the second step are evaluated, and compositions of the observation signals are optimized. The method has the beneficial effects that the target signals are evaluated through two evaluation parameters, namely