When you install and run an industrial system, the vibrations from machines can be used for comprehensive diagnostics. Vibration analysis can help you to monitor and detect issues using vibration data. Here is everything you need to know about vibration analysis.
What is Vibration Analysis?
Vibration analysis is the process of assessing the level of vibrations by different machines and utilizing it to determine the health of your system. The first step is measuring the vibration using an accelerometer connected to the machine under consideration.
The vibration data can be recorded either as amplitude versus frequency or amplitude versus time. Then, it is analyzed using advanced algorithms to assess the following problems:
- Bent shafts.
- Electric motor faults.
- Bearing failures.
- Mechanical looseness.
- Critical speeds.
Methods used in Vibration Analysis
Though the most preferred tool for vibration analysis is accelerometer, advanced technology has provided more advanced options such as the non-contact and high-speed laser sensors. This tech advancement is crucial in industries such as mining. In this industry, precision is crucial in machine use, analysis, and production. In vibration analysis, the process is broken into four principles (time, frequency, joint, and modal) that provide info on features and conditions of vibrating parts.
Categories of Vibration Measurements
- The overall level of vibrations
You can decide to do a rough check on a machine by feeling it with your hand. This check is more effective for testing vibrations of rotating machinery. However, it will not yield reliable results if your industrial system is using reciprocating machines.
- Spectral vibration analysis
This involves transforming a signal from the time to frequency domain using Fast Fourier Transform (FFT). When there is a peak in the frequency signal, your machine is likely to be suffering from vibrations. Spectral analysis can be used to tell how often a problem like teeth-meshing happens.
- Shock pulse monitoring
This monitoring is a predictive maintenance tactic that helps to assess rolling element bearings. A hand-held instrument is used to assess natural frequency that is generated by vibrations from rolling bearings.
- Signal Averaging
Because signals change over time, this assessment is important because it defines the extent of the signal at every frequency. It is especially helpful for low-frequency measurements since they require more averaging time to generate accurate estimates.
Vibration Measurement Parameters
The analysis outlined above is used to measure three crucial parameters; displacement, velocity, and acceleration. Every parameter emphasizes a specific frequency range in and can be evaluated to assess different issues with your machine.
If you have an industrial facility, it is important to carry regular analysis to ensure the system is in good health. One of the top monitoring methods is vibration analysis that can help you assess different issues of your machines.