From dots to decisions – understanding vector math in balancing

Vector math in dynamic balancing is a key concept every reliability or maintenance professional should understand. While many rely on vibration data collectors to do the calculations automatically, knowing how vector math works gives you more control, helps identify issues sooner, and leads to better balancing decisions. In this blog, we’ll simplify the process—from understanding circular plots to applying correction weights—so you can move confidently from dots to decisions.

Let’s take a simple, visual approach to understanding vector math, starting with what you see on screen – the dots – and ending with the corrective actions you take.

The circular plot: where balancing begins

When balancing a rotating machine, we use a circular (or polar) plot to visualise vibration. This plot shows two key things:

  • Amplitude – how much the machine is vibrating, represented by the distance from the centre

  • Phase – when in the rotation the vibration occurs, shown as an angle around the circle

circle plot

Your first reading: the reference run

Before making any changes, we collect a reference run – a reading of how the machine is currently behaving.

This data appears as a single orange dot on the circular plot. For instance:

  • If the dot is five segments away from the centre, and each segment represents 1 mil, then the amplitude is 5 mils

  • If the dot sits at 90°, then that’s your phase angle

It’s the starting point – your first ‘dot’.

Circle Plot 2

Adding a trial weight: watching the plot move

Next, we apply a trial weight to the machine. This is not the final correction – it’s a test to see how the system reacts.

We follow the 30/30 rule:

  • The vibration should change by at least 30% in amplitude, or

  • Shift phase by at least 30 degrees

If we see either change, the trial is successful, and we can proceed to calculate the correction.

After the trial weight, a new blue dot appears on the plot, showing the machine’s updated vibration. Now we’ve got two dots – and that’s when the decisions begin.

Circle Plot 3

The blue dot in the image above will represent the reading after applying the trial weight. At this point, we have enough information to make our correction

Understanding the math: connecting the dots

Let’s break it down visually:

Circle Plot 4

If we had done this manually, the fuchsia-colored arrow would have been drawn on the plot. Then, we would get out a protractor to measure the angle and a ruler to measure the length. Using the formula (Length/Amplitude), we will get a number that can be expressed as Grams/Inches.

With that information, we will impose the angle and length of the fuchsia arrow on the orange dot, which was the original run or “reference run”. You can see that We did that here by adding the green arrow.

Circle Plot 5

To keep the chart simple, I removed the trial run information.

The next step is to draw a line from the end of the green arrow to the center of the plot. At this point, we can measure the angle and length of the orange line.

Circle Plot 6

We take the angle and length of the orange line and flip it 180 degrees to draw our red line and establish the point at which we need to place our correction weight and how much weight we need to apply.

By measuring the length of the line and using our values from earlier, as far as grams/inch or whatever the units may be, we can determine the amount of weight needed to make the correction.

This is the math that is taking place inside your data collector. By understanding this concept, you will have a better understanding of the balance process and be more capable of identifying errors before they occur.

From maths to machine: why it still matters

Even though your vibration analyser or wireless balancer performs these calculations automatically, understanding what’s happening behind the scenes helps you work smarter. You’ll be able to:

  • Spot incorrect data or faulty readings

  • Avoid over- or under-correction

  • Interpret results with greater confidence

Balancing made simple – with clarity and control

The Acoem Wireless Balancer takes care of the complex vector maths for you, delivering accurate results in real time. But it doesn’t hide the process – it gives you full visibility of every vector, every angle, and every decision point.

You get the best of both worlds:

  • Precision automation

  • Complete understanding

Discover more about Unbalance with our educational videos

Explore our educational videos to gain a deeper understanding of the challenges related to unbalance in machinery. These videos will guide you through key concepts, monitoring solutions and best practices for identifying and correcting unbalances to maximise the performance and longevity of your equipment.

Concepts of Balancing: Rotational Unbalance | ACOEM

Vibration Analysis & Condition Monitoring Basics: Identifying Misalignment & Unbalance | ACOEM

Concepts of Balancing: Types of Unbalance | ACOEM

Every dot on a circular plot tells a story. With the right knowledge, you can turn those dots into smart, confident decisions.

Discover how the Acoem Wireless Balancer simplifies the science without compromising your control.

Ready to balance better?
by Acoem contributor | May 30, 2025
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