###### Abstract
Previously, scholars have researched the cause, classification, and impact on the ground pressure mechanism of mining earthquake and proposed specific prevention and control measures for the impact of the ground pressure disaster induced by it [1; 2; 3; 4; 5; 6; 7; 8; 9; 10; 11; 12; 13; 14]. However, most of the above studies address the perspective of strong mining earthquakes, studying the mechanism of induced dynamic disaster by analyzing the seismic source parameter of different types of these earthquakes as well as the characteristics of waveforms. In this context, there are few reports on the mechanism of induced impact ground pressure in terms of the strong dynamic loading of deep mining, a gap that must be filled due to the importance of the subject to waveform spectrum analysis in deep underground contexts. In this article, based on the 3310 working face of Gu Cheng Coal Mine, the waveform and energy data of the dynamic load vibration during the mining operation were collected. Furthermore, the conceptual model of strong dynamic load of the coal pillar-type, roof-type, and fault-type and its conceptual model are shown in Figure 2 below. Figure 1: An example of a post-peak amplitude decay curve. In this context, Fourier Transform is a mathematical tool that converts a time-domain signal into a frequency-domain signal by decomposing a continuous or discrete signal into a series of sine and cosine functions. Consequently, this technique can be useful to clearly identify the main frequency band of dynamic load events, retain the effective frequency band, and suppress the noise of irrelevant frequency bands. However, the computational complexity of traditional Fourier Transform algorithms is O(N\({}^{2}\)), which becomes very high when the signal length N is large. Coal mine seismic signals are often a finite set of discrete data, and a single seismic event corresponds to multiple waveform data from different stations. Therefore, using Discrete Fourier Transform (DFT) for processing these results causes high computational cost and time overhead. In contrast, Fast Fourier Transform [17] (FFT) significantly improves computational efficiency by exploiting the symmetry and repetitive nature of Fourier Transform, reducing the computational complexity from O(N\({}^{2}\)) to O(NlogN). The main computational steps of FFT are as follows:  
* If the length N of the signal is not a power of 2, perform zero-padding to make it a power of 2. * Divide the signal into equal halves and recursively compute each half. * Merge the results of the two halves through butterfly operations to obtain the final frequency-domain result. According to the inversion of seismic source mechanism, FFT uses multifractal methods to solve the seismic source parameter of the dynamic load, analyzing the characteristics of the attenuation of the dynamic load wave, and summarizing the differences in the three types of strong dynamic loads in terms of the waveform characteristics and the response of the seismic source parameter law. In this study, we summarize the differences in waveform characteristics and seismic source parametric response patterns among the three types of strong dynamic loads. Furthermore, we propose a solution capable of partially filling the research gap of strong dynamic load characteristics in deep coal mining, and then provide a theoretical basis for the prevention and control of secondary disasters induced by strong dynamic loads in deep coal mining. The remainder of this article is divided into the following sections: Section 2 (Materials and Methods); Section 3 (Results and Discussion); and Section 4 (Conclusions). The Methodology Section discusses the source of strong dynamic load data, the method of solving source parameters, FFT analysis theory, and the Multifractal Detrended Fluctuation Analysis (MFDFA) method. On the other hand, Section 3 address the experiments performed in the 3310 working face of Gu Cheng Coal Mine. Finally, Section 4 presents the main findings of this study and propose future contributions.