Abstract
In order to meet the requirement of precise analysis of nature gas pipeline explosion, authors combined MP algorithm and WVD distribution to improve the time-frequency resolution and to solve the problem of cross-terms interference. The HHT algorithm was applied to the data preprocessing of MP algorithm to reduce the computational complexity of the MP algorithm. It improved the computing efficiency and laid the foundation for big data analysis. In this paper, authors carried out a full-size pipeline explosion experiment at the CNPC pipeline fracture control State Key Laboratory. Advantages of the improved MP-WVD algorithm were taken to obtain the time-frequency distribution characteristics of the pipeline explosion vibration. The research provided a new algorithm for the time-frequency distribution of nonstationary random vibration, and the result provided a reference for the safe operation and construction of natural gas pipeline.
Highlights
With the popularization of natural gas, the construction mileage of pipeline is increasing year by year. e explosion accidents of natural gas pipeline that occurred occasionally brought a variety of damage effects [1, 2]
Taking the vibration signal generated by natural gas pipeline explosion as the research object, the authors improved the traditional time-frequency analysis algorithms and obtained more accurate timefrequency characteristics of the vibration
Renshu et al [11] did the comparison between HHT and short-time Fourier transformation (STFT) of blast wave signals, the HHT transform method proposed adaptive bases, but the interference of the EMD algorithm’s boundary effect to the original signal was still a difficult problem
Summary
With the popularization of natural gas, the construction mileage of pipeline is increasing year by year. e explosion accidents of natural gas pipeline that occurred occasionally brought a variety of damage effects [1, 2]. Taking the vibration signal generated by natural gas pipeline explosion as the research object, the authors improved the traditional time-frequency analysis algorithms and obtained more accurate timefrequency characteristics of the vibration. E results showed that wavelet transform introduced the wavelet bases which were more suitable for vibration wave, but its time-frequency resolution was still limited by the uncertainty principle [9, 10]. Renshu et al [11] did the comparison between HHT and short-time Fourier transformation (STFT) of blast wave signals, the HHT transform method proposed adaptive bases, but the interference of the EMD algorithm’s boundary effect to the original signal was still a difficult problem. In the field of time-frequency analysis, the WVD distribution has an accurate time-frequency resolution, but its cross-term problem has plagued researchers for a long time [12, 13]. Shock and Vibration algorithm had higher time-frequency resolution and better algorithm efficiency
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