![]() by Paul Goldman, Ph.D. Sr. Research Scientist Bently Rotor Dynamics Research Corporation e-mail: paul.goldman@bently.com ![]() and Agnes Muszynska, Ph.D. Research Manager and Sr. Research Scientist Bently Rotor Dynamics Research Corporation e-mail: agnes@bently.com |
In 1993, Bently Nevada Corporation introduced the "full spectrum" plot, as contrasted to the "traditional (half) spectrum" plot, and pioneered its application to rotating machinery monitoring and diagnostics. Since then, full spectrum plots have been included in all major Bently Nevada machinery management software packages, such as ADRE® for Windows and Data Manager® 2000 for Windows NT. Several articles have been published in past Orbit magazines which explain the meaning and applications of full spectrum plots and their advantages over half spectrum plots [1-3]. Nevertheless, full spectrum plots remain unfamiliar to many Bently Nevada customers. The questions most often asked are:
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Benefits of full spectrum plots |
Before we answer these questions, we'd like to start with the following observation:
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How the full spectrum is generated![]() Figure 1 ![]() Figure 2 |
Figures 1 & 2 show the generation of the half and full spectrum plots. The process of creating either full or half spectrum plots starts from digitizing the vibration waveforms. In the case of XY probes measuring rotor lateral vibration, there is one waveform from each channel. Combined, they generate a direct orbit. Note that the orbit represents the magnified path of the actual motion of the rotor centerline. Half spectrums are independently calculated from each waveform (Figure 1). During this calculation, a part of the information contained in the waveform and orbit is not retained. In particular, the relative phase correlation between X spectrum and Y spectrum components is not displayed. Thus, filtered orbits cannot be reconstructed using corresponding frequency components from X and Y half spectrums. Also, the half spectrum information shows no relationship to the direction of the rotor rotation. One process for obtaining a full spectrum, which demonstrates the correlation between the orbit and full spectrum, includes an expansion of the direct orbit into a sum of filtered orbits (Figure 2). Each filtered orbit has, in general, an elliptical shape. An elliptical orbit can be presented as a sum of two circular orbits: one is the locus of the vector rotating in the direction of rotation (forward), and the other is the locus of the vector rotating in the opposite direction (reverse). Both vectors rotate at the same frequency (the frequency of the filtered orbit). |
What is the correlation of full spectrum with filtered orbits and half spectrum? |
Since such a presentation of the filtered orbit can be done in only one way, forward and reverse circles are completely determined by the filtered orbit. An instantaneous position of the rotor on its filtered orbit can be presented as a sum of vectors of the instantaneous positions on the forward and reverse orbits: Rw+ e j(wt+ aw) +Rw e j(wt+bw). Here Rw+ and R w are the radiuses of the forward and reverse orbits, w is the frequency of filtering, and aw and b w are phases of forward and reverse responses. In Figure 2, w = W. Since W is the rotative speed, w can, therefore, be equal to W or to 2W. (1X or 2X). Note that the major axis of the filtered orbit ellipse is Rw++Rw , while its minor axis is ÞRw+RwÞ. Forward precession of the filtered elliptical orbit (in the direction of the rotor rotation) means that Rw+>Rw , while reverse precession means that Rw+<Rw . To completely define an ellipse, the major axis orientation is needed. The angle between the horizontal probe and the ellipse major axis, (bw aw)/2, is determined by the relative phase of the forward and reverse components. In two important cases, the ellipse degenerates into a simpler form:
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![]() Figure 3 |
In ADRE® for Windows, the full spectrum is obtained as the result of an FFT transformation of the sampled signals. The X component is the direct input, and the Y component is the quadrature input (Figure 3). Half spectrums are obtained independently from X and Y sampled signals. Each of them is considered as the direct input to the FFT, while the quadrature input is zero. It is important to note that the full spectrum forward and reverse component amplitudes can be used to recover the shape of the corresponding filtered orbit. Determining the orientation of the orbit is not possible in the full spectrum without the relative phase information, however. There is no way to make any judgment on the shape of the filtered orbit using half spectrums. The full spectrum is unaffected by probe orientation or probe rotation, as is the orbit. The X and Y half spectrums are dependent on the actual probe locations and can change dramatically with changes in their orientation. These characteristics, along with the enhanced applications of the full spectrum, make it superior to the half spectrum. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
What can it do for me? |
So, now that we know how a full spectrum is created, and what additional information it contains in comparison to a half spectrum, the question is, "how can it be used?" In order to perform reliable diagnostics, all possible information has to be extracted from the available data. Since full spectrum contains more information than the half spectrum, it has an advantage from that perspective. It can be used for steady state analysis (full spectrum, full spectrum waterfall) or for transient analysis (full spectrum cascade). One of the possible applications of full spectrum is for analysis of the rotor runout caused by mechanical, electrical, or magnetic irregularities. Depending on the periodicity of such irregularities observed by the XY proximity probes, different combinations of forward and reverse components are observed. The rules for such an analysis are summarized in Table 1. The amplitude and frequency components generated by the irregularities of the rotor do not change with rotative speed, unless there is a change in the rotor axial position. In that case, a new pattern will emerge, but it will follow the same rules.
Information regarding the full spectrum content generated by some rotating machinery malfunctions is contained in Table 2.
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Conclusions |
Table 2 is incomplete. Our knowledge of the application of full spectrum to rotating machinery monitoring and diagnostics is gradually evolving. However, even from what we know now, this new data presentation format is worth using. It allows assigning a direction to the rotor lateral response frequency analysis, and thus provides a better foundation for root cause analysis. Unlike individual half spectrums, full spectrum is independent of the particular orientation of probes. This independence, among other advantages, makes a comparison of different planes of lateral vibration measurements along the rotor train considerably easier. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
References: |
1. Southwick, D., "Using Full Spectrum Plots," Orbit, Vol. 14, No 4, December 1993, Bently Nevada Corporation. 2. Southwick, D., "Using Full Spectrum Plots Part 2," Orbit, Vol. 15, No 2, June 1994, Bently Nevada Corporation. 3. Laws, B., "When you use spectrum, don't use it halfway," Orbit, Vol. 18, No 2, June 1998, Bently Nevada Corporation. |