The Power of Machine Vibration Analysis

19/11/2020• Reading time: 1 min• Updated 8 months ago

The vibration analysis aims to analyze the variations in the vibrations of the machines. It is possible from this analysis to determine possible problems that may impair the proper performance of the equipment, thus recognizing which machines need proper maintenance attention.

The information obtained from the vibration analysis is fundamental to the concept of predictive maintenance as it allows an effective assessment on the condition of the equipment and, consequently, avoids defects and unexpected failures, thus ensuring the proper functioning of the equipment.

How does vibration detect possible failures?

To understand the advantages of vibration analysis it is important to first understand how this analysis works. All machines, when in operation, emit a certain vibration spectrum. However, when exceeding a certain limit, it is possible to determine through the analysis of such spectrum whether that irregular vibration is directly related to a defect.

We can understand that the vibrations exerted during the operation of the assets are characterized by the wear of the equipment and the components that form them, thus, from the vibration spectrum it is possible to analyze this wear and deterioration, ensuring health and smooth operation of the machine.


  • Number of Poles: 4
  • 60Hz rotation: 3600 RPM
  • Gear A: 36 teeth / Gear B: 72 teeth
  • Max temperature: 60 ºC

After having a notion of such aspects it is possible to identify patterns in the vibration diagrams, being able to characterize possible problems with certain variations, so we can build a base graph to identify such variations:

Types of analysis collected

We have already seen how the parameter of analysis of the wave spectrum works, but do you know how these spectrum are obtained? For this there are 3 ways to measure such waves, which are:

Global level vibration meter without filter: they are instruments capable of measuring the global value of vibration over a wide frequency.

Vibration meter with filter frequency analysis: Identical to the previous one, except that the measured level shows the vibration of the most important components to be monitored.

Frequency analyzers: used in cases where the width of the filter is very narrow, the frequency analyzer is capable of performing the Fourier Transform on a random, periodic or transient signal.

Advantages of Vibration Analysis

When it comes to the advantages that the analysis of equipment vibration generates for the industry, it is essential to talk about cost reduction. Since such analysis make a prediction of when it is necessary to carry out maintenance, there is an increase in the efficiency of the maintenance process, in addition to avoiding the breakdown of assets and ensuring an increase in their useful life, thus, if an anomalous vibration is treated before the predicted problem actually occurs, there is greater efficiency and an increase in profit.

It is also important to understand that vibration analysis is one of the main methods of analysis of Predictive Maintenance. This is the type of maintenance that monitors the asset data in real time in order to have health control, avoiding unexpected problems with maintenance.

Therefore, in an increasingly competitive market, and it is essential to aim for the best meaning of development in the production sector, investing in predictive maintenance and, consequently, vibration analysis, which is a powerful tool for monitoring equipment and company development.

Should I analyze acceleration, speed or displacement?

When it comes to which measurable physics, it is interesting to take into account that each of them has its importance according to the range of frequencies that the sensitivities encompasses, however, the most usual way is to measure the acceleration or speed, since these quantities allow for analysis of the largest range of failures when compared to displacement. The speed is more suitable for analyzing the low and medium frequencies of the spectrum, while the acceleration is more sensitive to the higher frequencies.

An interesting approach is to use the acceleration curve as a primary measurement and through it to obtain both velocity and displacement using mathematical processes such as numerical integration, which makes it possible to apply different types of analysis, if the correct care is taken with the use of filters and appropriate choice of resolution and sampling frequency.

How is vibration analysis implemented?

The vibration analysis can be done through the aforementioned collection equipment, either manually or automatically. However, with the new trends in technology and the advancement of IT, data collection through automatic sensors has already become cheaper and more profitable for companies interested in the technology.

Thus, these sensors are placed at strategic points on the machines, transforming the vibrations into electrical signals, which in turn are sent to vibration recording devices. The collected data will be analyzed by a trained professional together with the help of an AI, who will assess the health of the machine.

It is currently possible to purchase such a service from predictive maintenance management companies, such as Tractian. We provide you a sensor that is attached to the equipment and transmits all the information to its own platform that can be accessed by software on smartphones, for example. From this, it is possible to observe the entire analysis of the vibrations of the assets in real time and in the palm of your hands, thus avoiding unexpected problems with maintenance.

Finally, we understand that investment in vibration analysis and, consequently, in predictive maintenance is of paramount importance so that we can anticipate unexpected downtime and avoid losses from downtime and equipment replacement.

To learn more about such analysis and how predictive maintenance can help in many other ways, contact one of our professionals for more information.


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About the author:

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Gabriel Lameirinhas

Founder and Co-CEO of TRACTIAN. Computer Engineer from University of Sao Paulo, Specialist in predictive and passionate about industrial maintenance.

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