Influence of Distance from Blast Center on Time-Frequency Characteristics of Blast Vibration Signals

2014 ◽  
Vol 1033-1034 ◽  
pp. 444-448
Author(s):  
Ming Sheng Zhao ◽  
Xu Guang Wang ◽  
En An Chi ◽  
Qiang Kang
Keyword(s):  
Seismic Wave ◽  
Seismic Waves ◽  
Low Frequency ◽  
Open Pit ◽  
Blasting Vibration ◽  
Analysis Method ◽  
Vibration Signals ◽  
Frequency Bands ◽  
Time Frequency ◽  
Energy Property

The distance from the blast center will directly change the blasting seismic wave wave’s energy property and eventually influence the structure’s response to the wave. To study its influence on the time-frequency (t-f) characteristics of blasting vibration signals, the single-hole blasting vibration test was conducted in Jinduicheng Open Pit Mine. Based on the measured data, wavelet analysis was used to decompose the measured signals, and signal segments at different frequency bands were got. RSPWVD quadratic form time-frequency analysis method was applied to analyze the segments’ t-f characteristics, and the domain frequencies of the blasting seismic waves under different distances from the blast center and the energy distribution and duration of the frequency bands were collected. The results show that the distance from the blasting center has a big impact on the domain frequency of the blasting seismic wave. With the increasing of the distance, the domain frequency reduces, its duration extends, the percentage of energy at the low frequency in the total energy increases and the duration of the frequency band extends. The research results provide the analysis base for understanding the influence of the distance from the blast center on signals’ t-f characteristic and studying vibration resistance and vibration reduction.

scholarly journals Energy Characteristics of Seismic Waves on Cardox Blasting Tube

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xuejiao Cui ◽  
Bo Ke ◽  
Songtao Yu ◽  
Ping Li ◽  
Mingsheng Zhao
Keyword(s):  
Seismic Wave ◽  
Seismic Waves ◽  
Vibration Velocity ◽  
Analysis Method ◽  
Wave Source ◽  
Energy Characteristics ◽  
Time Frequency ◽  
Wave Signal ◽  
Liquid Co2 ◽  
Optimal Kernel

In order to study the energy characteristics of seismic waves on the liquid CO2 blasting system, the blasting seismic wave signal of liquid CO2 blasting was obtained by on-site microseismic monitoring tests. The adaptive optimal kernel time-frequency analysis method was used to study the basic time-frequency properties of the seismic wave signal. Combining wavelet packet transform decomposition and reconstruction and adaptive optimal kernel time-frequency analysis method, the liquid CO2 energy distribution of the seismic wave signal was further analyzed. And the energy regression model of seismic wave source of liquid CO2 blasting system was discussed. The results show that the vibration velocity is at a low level, and the main frequency range is between 30 and 70 Hz, and the duration is about 20-30 ms. The energy is mainly distributed in 0-125 Hz, which is composed of two main regions. The power function model can be used to describe the attenuation law of the seismic wave energy. The energy conversion coefficient and characteristic coefficient of the source of liquid CO2 blasting system were defined and analyzed. Combined with the empirical formula of the Sadovsky vibration velocity, the energy regression model of the seismic wave source of liquid CO2 blasting system was obtained.

Research to Blasting Vibration Distribution of an Open Pit Mine Based on Wavelet Packet Theory

2011 ◽  
Vol 130-134 ◽  
pp. 1547-1555 ◽  
Author(s):  
Yi Yang ◽  
Wei Sun ◽  
Shu Fen Li
Keyword(s):  
Seismic Wave ◽  
Wave Energy ◽  
High Frequency ◽  
Low Frequency ◽  
Open Pit ◽  
Blasting Vibration ◽  
Frequency Signal ◽  
High Frequency Signal ◽  
Daily Production ◽  
Signal Energy

As mining production developing, the deformation is gradually increasing in the northwest side of the surface mine. The blasting vibration of daily production is influence on the slope. Through decomposing, restructuring and analyzing the blasting vibration signals of different elevations and explosion distances, we got that the seismic wave energy was mainly distributed low frequency range, usually less in 20Hz and that with the explosion distance increasing, the high-frequency signal energy would be lost, especially when low-frequency signal energy below 10Hz low-frequency become into the main part of the energy. As explosion (center) distance increases, the signal energy is concentrated in the low frequency. Whereas, with the elevation increasing, the seismic wave energy will move to high frequency and has a homogenizing tendency; the percentage of the low frequency energy will be decreased relatively.

Blasting Vibration Signals Time-Frequency Analysis Based on S-Transform

2012 ◽  
Vol 588-589 ◽  
pp. 2013-2017
Author(s):  
Dong Tao Li ◽  
Jing Long Yan ◽  
Le Zhang
Keyword(s):  
Frequency Analysis ◽  
Vibration Signal ◽  
Transformation Method ◽  
Blasting Vibration ◽  
Time Duration ◽  
Vibration Signals ◽  
Time Frequency Analysis ◽  
Time Frequency ◽  
S Transform ◽  
Vibration Wave

Introduced the theory of S-transform, designed simulation experiment and the frequency components distribution versus time was, verified that the S-transformation method is suitable for blasting vibration signal time-frequency analyzed. Applied it to the time-frequency analysis of measured blasting vibration signals at situ, the results show that S-transform has excellent time-frequency representation ability and higher resolution, reveals the detail information of blasting vibration wave changing with time and frequency, and provides a new way for blasting vibration research. Determined the desired delay intervals through comparing the energy of signal and the time duration of the waveform at characteristic frequency between two-hole blasting vibration signals with different delay intervals.

scholarly journals Frequency Spectrum and Wavelet Packet Analyses of Blasting Vibration Signals for Different Charge Structures in Blasting Peripheral Holes

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Ke Man ◽  
Xiaoli Liu ◽  
Zhifei Song
Keyword(s):  
Energy Distribution ◽  
Frequency Spectrum ◽  
Wavelet Packet ◽  
Low Frequency ◽  
Energy Concentration ◽  
Vibration Velocity ◽  
Blasting Vibration ◽  
Vibration Signals ◽  
The Stability ◽  
Smooth Blasting

Based on the blasting principle of the cutting seam cartridge, smooth blasting with the charge structures of the usual cartridge and cutting seam cartridge has been designed and implemented, respectively, for different peripheral holes in the same face. Meanwhile, the blasting vibration has been monitored. Through the analysis of the frequency spectrum of blasting vibration signals, it is found that the maximum blasting vibration velocity of the cutting seam cartridge charge is lower than that of the usual cartridge charge, from 0.21 m/s to 0.12 m/s. Moreover, the blasting energy distribution is more balanced. Especially in the low-frequency part, the blasting energy is less, and there is a transferring trend to the high-frequency part, which shows that the cutting seam cartridge charge has a better optimization effect. Furthermore, using wavelet packet analysis, the cutting seam cartridge charge could effectively reduce the energy concentration in the low-frequency part. The energy distribution is much more dispersed, and the disturbance to the structure could be less, which is conducive to the stability of the structure. According to the blasting effect, the overbreak and underexcavation quantity at the cutting seam cartridge charge is better than that at the usual cartridge charge.

Research on Coupling Faults With Oil-Film Instability and Bearing Rub-Impact Based on Reassigned Wavelet Scalogram

2007 ◽  
Author(s):  
Xiaopeng Li ◽  
Hui Ma ◽  
Guiqiu Song ◽  
Bangchun Wen
Keyword(s):  
Low Frequency ◽  
Decisive Role ◽  
Frequency Resolution ◽  
Vibration Signals ◽  
Oil Film ◽  
Rotor Systems ◽  
Time Frequency ◽  
Coupling Faults ◽  
Film Instability ◽  
Frequency Components

An experiment rig was set up to simulate coupling faults with oil-film instability and local rub-impact. The collected vibration signals were roughly analyzed by 3-D waterfall spectra. In complicated frequency components domain, the vibration signals were analyzed with wavelet scalogram and reassigned wavelet scalogram. Results show that reassigned wavelet scalogram has higher time-frequency resolution than wavelet scalogram and can well identify such close low-frequency components. The analysis results also indicated rub-impact faults induced by oil-film instability can produce some low-frequency components with small amplitude and oil whip can produce half frequency component; rub-impact with a common extent exerts a light influence on rotor systems and nonlinear oil-film force plays a decisive role in rotor systems.

Time–frequency characteristics of blasting vibration signals measured in milliseconds

2011 ◽  
Vol 21 (3) ◽  
pp. 349-352 ◽  
Author(s):  
Mingsheng Zhao ◽  
Jianhua Zhang ◽  
Changping Yi
Keyword(s):  
Frequency Characteristics ◽  
Blasting Vibration ◽  
Vibration Signals ◽  
Time Frequency

An Improved HHT Method and its Application in Fault Diagnosis of Roller Bearing

2013 ◽  
Vol 273 ◽  
pp. 264-268 ◽  
Author(s):  
Ling Li Jiang ◽  
Bo Bo Li ◽  
Xue Jun Li
Keyword(s):  
Fault Diagnosis ◽  
Wavelet Packet ◽  
Roller Bearing ◽  
Low Frequency ◽  
Analysis Method ◽  
Intrinsic Mode Functions ◽  
Hilbert Huang Transform ◽  
Time Frequency ◽  
Effective Time ◽  
Coefficient Method

Hilbert-Huang transform (HHT) is a very effective time-frequency analysis method, but it has some disadvantages. For example, the dense modal signal cannot be decomposed completely, and redundancy intrinsic mode functions (IMFs) are easy emerging at low frequency, which will cause the distortion of the processing results. In view of the above questions, this study applies the wavelet packet transform for denoising before HHT for improving the dense modal problem, and applies the correlation coefficient method to eliminate the redundancy IMF. The fault diagnostic case of roller bearing shows the effectiveness of the proposed method.

Refinement Analysis for Time-Frequency Characteristic of Blasting Seismic Exploration Signals

2014 ◽  
Vol 926-930 ◽  
pp. 3541-3544
Author(s):  
Ming Shou Zhong ◽  
Quan Min Xie ◽  
Tao Guo ◽  
Xing Bo Xie ◽  
Hao Quan Liu ◽  
...  
Keyword(s):  
Wavelet Transformation ◽  
Seismic Exploration ◽  
Blasting Vibration ◽  
Seismic Signals ◽  
Analysis Method ◽  
Effect Analysis ◽  
Time Frequency ◽  
Vibration Effect ◽  
New Research ◽  
Frequency Features

Accurate extraction of time-frequency features for blasting vibration signals has great significance for blasting seismic exploration, so time-frequency analysis method for blasting seismic signals was researched based on frequency slice wavelet transformation technology, and separation and extraction of time-frequency features were were successfully achieved. Frequency slice wavelet transformation can be introduced into blasting vibration effect analysis fields, it can provide a new research idea for refinement analysis of time-frequency characteristics, and it also has great significance for improving the effect of blasting seismic exploration in China.

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