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Order Cut

An order cut extracts the amplitude of a single order (or a narrow band around an order) as a function of rotational speed. This produces a 2D curve showing how the vibration or noise level at a specific rotational harmonic evolves during a run-up or coast-down, making it the primary tool for identifying critical speeds and evaluating the severity of individual excitation mechanisms.

Concept

While the Campbell Diagram provides a complete overview of all orders simultaneously, the order cut focuses on a single order, extracting its level from the waterfall data. Mathematically, the order cut tracks the frequency:

f(RPM) = Order × RPM / 60

At each RPM step, the algorithm reads the amplitude of the spectral component at this speed-dependent frequency. The result is a curve of amplitude (dB or linear) versus RPM.

Bandwidth Consideration

Because spectral bins have a finite width (Δf), the order cut can either take the value of the single bin closest to the theoretical order frequency, or integrate over a narrow band centered on the order. The band integration approach is more robust when the order is not perfectly aligned with a spectral bin:

Aorder(RPM) = √( Σ |X(fk)|² ),   for fk ∈ [forder − ΔB/2,   forder + ΔB/2]

where ΔB is the integration bandwidth, typically specified as a fraction of the order spacing.

Order Cut -- Single Order Tracked Through Run-Up Level (dB) RPM 500 1000 1500 2000 2500 fₒₘₑₑₘ = Order × RPM/60 Resonance: order crosses structural natural frequency

Order Tracking Methods

Computed Order Tracking (COT)

COT is the standard method implemented in V-Listen. The time-domain signal is resampled to the angular domain using tachometer information, and the order spectrum is computed at each RPM step. The order cut is then extracted from these spectra. This method provides the cleanest separation between adjacent orders.

Vold-Kalman Filter

The Vold-Kalman (VK) order tracking filter is a time-domain filter that extracts individual orders directly from the time signal. It provides both amplitude and phase as functions of time (or RPM) and can resolve closely spaced orders that overlap in the frequency domain. The VK filter is particularly useful for operational deflection shape (ODS) analysis at specific orders.

The Vold-Kalman filter requires more computation time than COT but provides superior order separation, especially during rapid speed changes. Use it when standard COT shows order smearing or when phase information is needed.

Parameters

ParameterOptionsDescription
Order(s)Any positive numberOrder number(s) to extract. Multiple orders can be tracked simultaneously.
Integration Bandwidth0.1 – 2.0 ordersWidth of the band centered on the order for amplitude integration.
RPM RangeMin – Max RPMSpeed range for the order cut.
RPM Resolution1 – 100 RPMRPM step between successive data points on the curve.
Tracking MethodCOT / Vold-KalmanOrder tracking algorithm.
Amplitude ScaledB / LinearY-axis scaling for the output curve.
Tacho ChannelAny pulse channelReference tachometer signal.

Interpreting Order Cut Results

Resonance Identification

When an order cut passes through a structural resonance, the amplitude shows a clear peak at the corresponding critical speed. The shape of this peak provides information about the damping of the resonance:

Level vs RPM Trends

Beyond resonance peaks, the general trend of the order cut provides diagnostic information:

Multi-Order Comparison

V-Listen allows multiple order cuts to be displayed on the same graph for direct comparison. This is useful for:

Practical Tips

If the integration bandwidth is set too wide, adjacent orders may leak into the order cut, producing artificially elevated levels. If set too narrow, the order peak may be partially missed when the actual order frequency does not exactly align with the bin center.

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