Abstract
In order to study the time-frequency characteristics of shock wave signals under deep water explosion conditions, experiments are performed using water medium explosion containers to simulate different water depth conditions, and signal analysis is performed on the shock wave data obtained in the experiments. Traditional time-frequency analysis methods such as Fourier transform and wavelet transform have many limitations on deep-water explosion shock wave signal analysis, the HHT method is used to analyse the experimental data from the three-dimensional Hilbert spectrum, marginal spectrum and instantaneous energy spectrum. The results show that the time-frequency method can effectively extract the frequency components of the deep-water explosion load signal in different periods. It provides a reference for people to understand the time frequency characteristics of shock wave signals in deep water.
Highlights
With the rapid development of engineering explosion technology, explosion technology has been developed from the first military research to civil water explosion projects, such as channel widening, wharf construction and water conservancy facilities construction, etc
Wavelet transform uses wavelet windows to solve the contradiction of time frequency resolution, which is obtained in blasting signal analysis
Analyse the measured underwater explosion shock wave signal based on the HHT method
Summary
With the rapid development of engineering explosion technology, explosion technology has been developed from the first military research to civil water explosion projects, such as channel widening, wharf construction and water conservancy facilities construction, etc. In the 1820s, Fourier transform was widely used in the field of signal processing as a classic signal analysis technique after Fourier put forward the “Analytical Theory of Heat Conduction” [2]. Wavelet transform uses wavelet windows to solve the contradiction of time frequency resolution, which is obtained in blasting signal analysis It has a wide range of applications. HHT is an adaptive transformation method that does not need to choose a wavelet basis, and is suitable for analysing non-stationary signals [6] This method breaks the limit of the uncertainty principle and shows better resolution in time-rate analysis. This paper uses the HHT method to analyse the shock wave signal of deep water explosion, observe the change of the shock wave signal’s frequency with time and learn the time frequency energy distribution the characteristics of the shock wave signal in the deep water environment
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
