Summary:

Vibration analysis is defined as a process for measuring the vibration levels and frequencies of machinery and then using that information to analyze how healthy the machines and their components are. vibration analysis determines the health of the machine and identify possible impending problems like looseness, unbalance, misalignment, lubrication issues and more.

Solution:

For Vibration Analysis we made solution Using FFT Analysis. A fast Fourier transform (FFT) is an algorithm that computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IDFT). Fourier analysis converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa.

In other words, it’s a calculation intended to break down a signal into all its frequencies. If you’ll recall time domain and frequency domain discussed above, FFT converts a signal from the time domain into the frequency domain. Fast Fourier transform is most often used for detecting machine faults like misalignment or unbalance. Vibration analysis have the following silent features.

Features:

Anomaly Detection
Use as Machine Health Indicator
Pattern Recognition
Automated Failure Mode Detection
OEE Improvements
Trend Analysis
Industry certified
ISO Reporting
Multi-Sensor Functionality