Vibro-meter VM600 200-560-000-113 | Vibration monitoring and analysis

The signal processing method of Vibro meter Vibro-meter VM600 200-560-000-113 is as follows:

-Digital filtering: Performing digital filtering on input vibration signals by setting different filter parameters, such as low-pass filter, high pass filter, band-pass filter, etc., can 

remove noise and interference from the signal, retain useful frequency components, and improve the quality and accuracy of the signal.

-Rectification: including RMS (root mean square), mean value, true peak value, or true peak to peak rectification methods. Through these rectification operations, the AC 

vibration signal can be converted into a DC signal for subsequent analysis and processing, which can more intuitively reflect the amplitude of the vibration.

-Sequential tracking: to track the amplitude and phase of vibration signals. In applications such as rotating machinery, analyzing the relationship between vibration signals 

and rotating components based on the speed and phase information of the equipment can help detect vibration problems related to specific speeds, such as imbalance, 

misalignment, resonance, and other faults.

-Sensor target measurement: It can measure the relevant parameters between the sensor and the target, combined with vibration signal analysis, to more comprehensively 

understand the operating status of the equipment. For example, by measuring the distance change between the sensor and the rotating shaft, it can assist in determining the 

displacement, eccentricity, and other conditions of the shaft.

In addition, VM600 also has multi-channel processing capability, which can process multiple dynamic signal inputs simultaneously. Each channel can be independently 

configured and programmed to meet different measurement needs. At the same time, 24 bit data acquisition ensures a high signal-to-noise ratio data acquisition effect. The 

high-resolution FFT (Fast Fourier Transform) has up to 6400 lines every 500 milliseconds, which can perform spectral analysis on vibration signals, converting time-domain 

vibration signals into frequency-domain signals, helping users to have a clearer understanding of the frequency composition and distribution of vibration, and thus more 

accurately identify the fault characteristic frequency of the equipment.