EMG thruster EB2000-60

detailed description:

EMG thruster EB2000-60The time-domain method studies the variation law of vibration signals over time, mainly involving amplitude analysis, time difference characteristics, and waveform features. By setting amplitude thresholds, vibration peak values are extracted, and their root mean square values and standard deviations are calculated as characteristic parameters for vibration monitoring. The advantage of time-domain method is that the parameter calculation is intuitive and simple. However, when using time-domain analysis method, due to the large amount of background noise contained in the measured signal, it is difficult for the monitoring system to obtain the friction state information contained in the signal. Therefore, it should be avoided as much as possible that the time-domain method refers to converting the time-domain signal into a frequency-domain signal to study the frequency-domain characteristic information of the vibration signal, so as to extract the vibration characteristics in the time-domain.

Extract the characteristic quantity of vibration. The detection and recording of vibration spectrum signals laid the foundation for extracting vibration characteristic quantities of bearings. At present, the commonly used frequency domain analysis methods include Fourier transform, power spectrum analysis, and inverse spectrum analysis. Fourier transform is the core of frequency domain method, commonly used to process stationary periodic signals. When processing non-stationary signals, windowing is required to approximate that the signal within the window is stationary. Power spectrum analysis can be divided into direct method and indirect method. The difference between the two is that the direct method directly performs fast Fourier transform on the friction vibration signal to obtain the power spectrum, while the indirect method performs Fourier transform on the correlation function of the friction vibration signal to obtain the power spectrum. The advantage of power spectrum analysis is that it can qualitatively and quantitatively analyze signals with multiple frequency components. The essence of inverse spectrum analysis is to take the logarithm of the power spectral density and then perform Fourier transform. The complex inverse spectrum analysis preserves all the information in the signal, while the real inverse spectrum only retains the amplitude information of the spectrum and loses the phase information. The main advantage of this method is that it can analyze and extract the periodic components on complex spectrograms, while fully preserving the sideband components.

The basic principle of time-frequency method is to establish a relationship function between time and frequency, which is characterized by local changes in time and frequency. The distribution and arrangement of each frequency band of the target signal on the time axis are obtained through the time-frequency plane. The typical representative of time-frequency method is wavelet analysis, which mainly involves wavelet transform and wavelet packet transform. Wavelet transform is based on Fourier analysis and can effectively handle non-stationary signals and local abrupt signals. Its prominent feature lies in multi-resolution analysis, which allows for the observation and analysis of vibration signal details or profiles using different signals; The wavelet packet transform not only inherits the time-frequency localization characteristics of wavelet transform, but also compensates for the high time resolution and low frequency resolution of wavelet transform in the high-frequency band, which can further refine and decompose the high-frequency detail signals separated by wavelet transform. The use of continuous wavelet transform (CWT) time-frequency image and image segmentation techniques to extract vibration feature bodies resulted in significant differences in the extracted feature parameters under different operating conditions, effectively reflecting the friction state.

EMG thruster EB2000-60The noise and vibration generated during the braking process have a good correlation and share certain common characteristic parameters. The direct relationship between vibration velocity and sound pressure can be transformed into specific mathematical expressions, so the basic idea for noise and vibration detection is the same. It is generally believed that friction noise is caused by the vibration of the friction system, so most of the work of detecting noise is transformed into the detection of vibration. Slightly different is that noise already has some characterization parameters (such as sound pressure, sound intensity, sound power, and directional coefficient), but in order to more accurately characterize the noise phenomenon, it is still necessary to use frequency domain or time-frequency methods similar to detecting frictional vibration to extract the characterization parameters of frictional sound. In summary, researchers at home and abroad have done a lot of work in the testing technology of disc brake performance, and have achieved many research results with practical value and theoretical significance. However, overall, the current situation isEMG thruster EB2000-60The detection of brake performance parameters mainly focuses on the detection of brake operating parameters such as brake pressure, sliding speed, temperature, etc. These state variables only affectEMG thruster EB2000-60The indirect working condition quantity of brake friction state, while the direct detection technology for intuitive friction state parameters such as brake friction coefficient, friction temperature rise, friction vibration noise, etc. is relatively immature at present, and the current brake performance detection technology is generally limited to the detection of individual performance parameters. Therefore, the author of this book believes thatEMG thruster EB2000-60Combining the characteristics of brake friction state with the parameters of braking conditions, exploring a comprehensive detection technology for braking performance based on the inherent relationship between the two, and developing online monitoring technology for braking performance based on this will undoubtedly be an important direction for the future development of disc brake detection and monitoring technology.

Product Details:

Product Parameters:

Product performance:Variable lever ratio, installation is not divided into left and right, requires fewer spare parts, high space utilization, spring force center, brake arm is not subjected to torque, with automatic compensation for brake pad wear, high friction coefficient of high wear-resistant copper based brake pads, German EMG thruster.

Product materials:The product adopts integral casting without deformation, wear-resistant bearings, and stainless steel shaft components.

Product UsageThe USB3 series brakes are mainly used in container cranes, ship unloaders, steel plant casting cranes, water and electricity bridge cranes, ship lifts, cable cranes, and other equipment.

Product packaging:Wooden case packaging.

Instructions for Use:Brake installation dimensions and braking torque parameters: GB6333-86 standard, technical requirements comply with JB/T6406-2006 standard.

Usage conditions:

Environmental temperature: -20 ℃ -50 ℃;

There should be no flammable, explosive, or corrosive gases in the surrounding work environment, otherwise anti-corrosion products should be used;

The relative humidity of the air is not greater than 90%;

The altitude of the usage location complies with GB755-2000.

After-sales service