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In some special mechanical systems, shock or vibration will instantaneously cause serious effects on the system. Vibration can be defined as the kinetic energy transmission system, it is the duration of a cycle relative to the normal operating cycle of the system is much smaller, such vibrations will cause the system to the natural oscillation. Vibration phenomena from explosions, shock and other sudden release of energy, such as the current research focus - earthquakes. Seismic signal, also called seismic wave signal includes two waves: one is the body waves, which through the Earth's interior to spread, and the other one is the wave, it is through the earth surface or along the earth's interior point of discontinuity propagation . Body waves and surface waves and can be divided into two other waves, respectively. Body wave into longitudinal wave (P-wave) and shear (S-wave), Rayleigh and Love waves into surface waves. Seismic analysis is a signal analysis is one of the most important topics. It is mainly the body wave analysis, because body waves sent from the source in all directions, when the body wave reaches the free surface of the earth or in the layered geological structure interface, will produce wave. So, for homogeneous medium, such as a medium without borders is not going to generate surface waves. The earthquake seismic data analysis, is to determine the earthquake's epicenter, intensity and focal depth. These data will need to get the P-wave and S-wave arrival times were measured. This article presents a wavelet-based P-wave and S-wave automatic detection method, which can guide the application of AIC collector. Seismic detection phase, can be reliably and accurately estimate earthquake seismology start time is very interested in a research. Automatic processing of seismic data, not only to quasi-real-time location of that event, and this can help seismologists after making ShakeMaps provide data. Real time phases beginning phases can be defined as the first wave of this energy reaches a position in time. Typically through different phases amplitude, or the spectrum of the background noise from the polarization direction of waves to distinguish. Time of occurrence of noise is usually chosen a different sound for the first time occurred at a time, although an experienced analysts often inferred it comes down to noise. In addition to the impact on the most impact, many analysts select a different point in time of occurrence. In the case where the signal does not false noise reduction method allows to determine in advance the time of occurrence. Similarly, the selection occurs time is usually not only a value, and the real time of occurrence of which there are some errors. Wavelet is the development of a new signal processing tools, it is capable of a variety of complex signal characteristic time scale analysis, to the unstable region. It is the basis for signal analysis and synthesis of new technologies, it can present some general issues have been well applied, for example: de-noising. Seismic wavelet can be used to improve the signal to noise ratio, which will be able to guide the AIC of P-wave and S-wave arrival time applications. In modern seismic recording system, the corresponding linear-phase finite impulse (FIR) filter has been widely used, it can generate a pioneer in the impact signal arrival. These signals and the artifacts may lead to understanding the nature of the impact of errors. These effects should be removed records of seismic waves, but does not affect bandwidth. An adaptive FIR filter is used to eliminate these effects, but the spectrum of the signal component of the seismic waves are retained. This paper presents an algorithm is applied in Cairo Area 53 local events recorded in the Egyptian National Seismic Network of FYM, HAG and KOT locations. Of these events, while the automatic recording and manual recording. Then for each location error distribution function calculation.
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