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Order tracking (signal processing)

Order tracking (signal processing) is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Order tracking (signal processing) rather than just read about it. In short: In rotordynamics, order tracking is a family of signal processing tools aimed at transforming a measured signal from time domain to angular (or order) domain. These techniques are applied to asynchronously sampled signals (i.e. with a constant sample rate in Hertz) to obtain the same signal sampled at constant angular increments of a reference shaft.

Key takeaways

  • Order tracking (signal processing) belongs to physics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Order tracking (signal processing) to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Order tracking (signal processing) from memory before moving on to harder problems.

Reference excerpt

In rotordynamics, order tracking is a family of signal processing tools aimed at transforming a measured signal from time domain to angular (or order) domain. These techniques are applied to asynchronously sampled signals (i.e. with a constant sample rate in Hertz) to obtain the same signal sampled at constant angular increments of a reference shaft. In some cases the outcome of the Order Tracking is directly the Fourier transform of such angular domain signal, whose frequency counterpart is defined as "order". Each order represents a fraction of the angular velocity of the reference shaft. Order tracking is based on a velocity measurement, generally obtained by means of a tachometer or encoder, needed to estimate the instantaneous velocity and/or the angular position of the shaft. Three main families of computed order tracking techniques have been developed in the past: Computed Order Tracking (COT), Vold-Kalman Filter (VKF) and Order Tracking Transforms. Order tracking refers to a signal processing technique used to extract the periodic content of a signal and track its frequency variations over time. This technique is often used in vibration analysis and monitoring of rotating machinery, such as engines, turbines, and pumps. In order to track the order of a signal, the signal is first transformed into the frequency domain using techniques such as the Fourier transform. The resulting frequency spectrum shows the frequency content of the signal. From the frequency spectrum, it is possible to identify the dominant frequency components, which correspond to the various orders of the rotating machinery. Once the orders are identified, a tracking algorithm is used to track the frequency variations of each order over time. This is done by comparing the frequency content of the signal at different time instants and identifying the shifts in the frequency components.

Computed order tracking Computed order tracking is a resampling technique based on interpolation. The procedure begins by estimating the time instants T k {\displaystyle T_{k}} ( k = 1 : K ) {\displaystyle (k=1:K)} corresponding to integer rotations of the shaft (i.e. angle equal to 2 π k {\displaystyle 2\pi k} ). Then an angular rotation vector is defined:

α i = 2 ⋅ π i K N {\displaystyle \alpha _{i}=2\cdot \pi {\frac {iK}{N}}}

accordingly to the desired angular resolution:

Δ α = K N {\displaystyle \Delta \alpha ={\frac {K}{N}}}

A corresponding vector of time instants is obtained by means of a first interpolation step

t ( i Δ α ) = interpolation ( { 2 π k , T k } , α i ) {\displaystyle t(i\Delta \alpha )={\text{interpolation}}(\{2\pi k,T_{k}\},\alpha _{i})}

A second interpolation step is then applied to obtain the angular resampled signal x ( i Δ α ) {\displaystyle x(i\Delta \alpha )} from the original time domain signal x ( j Δ t ) {\displaystyle x(j\Delta t)} :

x ( i Δ α ) = interpolation ( { x ( j Δ t ) , j Δ t } , t ( i Δ α ) ) {\displaystyle x(i\Delta \alpha )={\text{interpolation}}(\{x(j\Delta t),j\Delta t\},t(i\Delta \alpha ))}

Vold-Kalman filter Vold-Kalman filter is a particular formulation of Kalman filter, able to estimate both instantaneous speed and amplitude of a series of harmonics of the shaft rotational velocity.

Order tracking transforms Order tracking transforms are mathematical transforms which perform in a single step both the order tracking (synchronization of the signal domain with the reference shaft) and the Fourier transform to assess amplitude and phase of each order of the so obtained spectrum. With such transforms it is possible to directly assess the amplitude of a synchronous, sub-synchronous or super-synchronous shaft-locked harmonics, without an additional resampling step. The most recent formulation of such transforms is the Velocity Synchronous Discrete Fourier Transform, defined as follows:

X ( Ω ) = Δ t Θ ∑ n = 1 N x ( n Δ t ) e − j Ω θ ( n Δ t ) ω ( n Δ t ) {\displaystyle X(\Omega )={\frac {\Delta t}{\Theta }}\sum _{n=1}^{N}x(n\Delta t)e^{-j\Omega \theta (n\Delta t)}\omega (n\Delta t)}

where Ω {\displaystyle \Omega } is the order of the harmonics to be estimated, Θ {\displaystyle \Theta } is the total angular rotation of the shaft in the acquisition window, θ {\displaystyle \theta } and ω {\displaystyle \omega } are respectively the instantaneous angular rotation and velocity of the reference shaft.

References

Worked examples

Example 1 — a first encounter with Order tracking (signal processing)

Start with the simplest possible case. Write down what Order tracking (signal processing) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Order tracking (signal processing) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Order tracking (signal processing) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Order tracking (signal processing)

In research
Order tracking (signal processing) appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Order tracking (signal processing) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Order tracking (signal processing) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Dynamics (mechanics), Signal processing, so understanding it makes those chapters shorter.
In everyday life
Look for Order tracking (signal processing) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Order tracking (signal processing) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Order tracking (signal processing) means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Order tracking (signal processing) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Order tracking (signal processing) in simple terms?

In rotordynamics, order tracking is a family of signal processing tools aimed at transforming a measured signal from time domain to angular (or order) domain. These techniques are applied to asynchronously sampled signals (i.e. with a constant sample rate in Hertz) to obtain the same signal sampled…

Why does Order tracking (signal processing) matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Order tracking (signal processing)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Order tracking (signal processing).

Tags

  • Dynamics (mechanics)
  • Signal processing

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