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Analysis Complications


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Handling Signal Analysis Complications


by Sidney J. Booksh

Abstract


There are a number of phenomena that affect the frequency content of observed spectra. Most are some type of non-linearity like misalignment, looseness, and rubs. Nyquist and Bode’ plots can present valuable clues about the type of non-linearity. Also, system and local resonances can amplify or attenuate parts of the spectrum. In most cases, their amplification, damping, and phase change can be determined from the spectra alone without formal response testing. Therefore, their effect can be backed out. A third class is path dependence. That is, the vibration signal can take multiple paths from the source to the transducer and arrive at different times. Furthermore, signals can interact as seen in the several types of modulation where one signal becomes part of the system response as seen by other signals. All these things can operate both independently and in concert to produce a very complex spectrum. Although the mathematics is simple (nothing more than high school trig) and gives a deeper and broader understanding, the field analyst usually does not have the luxury of dwelling in that area. Therefore, this paper will attempt to shed some light on these subjects in a qualitative way so that the reader can begin to develop an intuitive ability to recognize and account for them. There is no such thing as noise… only data that we don’t know how to handle yet.

PREVIEW


“Ehrich [1] described the interaction of two signals close together in frequency through a non-linear system. Although he did not use the terms modulation and beating, he appears to have been the first to document and describe the use of sidebands and an oscillating envelope in the diagnosis of a mechanical system. Eshleman [2] expanded on Ehrich and discussed the possibility of misalignment, looseness, rubs, and other phenomena caused by system response non-linearity. He also described the generation of sidebands in the vibration spectra. He raised the subject of using this characteristic as a quantitative diagnostic tool as an area of fruitful future research. Both Ehrich and Eshleman used the Fourier transform to determine the frequency content of truncated signals. Eisenmann [3] and Taylor [5] present explanations of the characteristics of simple modulation and beating. Several case histories are given that add depth to the explanation. Taylor [5] also very briefly touches on the non-linear aspects of misalignment. Other authors, Mitchel [4] and Crawford [6], have discussed the appearance of sidebands in spectra and oscillating waveforms and their use in diagnosing machinery faults. Okubo [13] gives an excellent paper on the effect of non-linearity on transfer functions and, consequently, Nyquist and Bode’ plots. This paper will expand on these results.

How mechanical systems respond to forces: The frequency response plot that we are all familiar with, Figure 1, comes with the understood assumption that it only applies to linear systems. Figure 2 is the frequency response map of a system whose response characteristic changes with increasing force.

Here we will look at the effect of the force response characteristic of a system on the vibrations that we observe. Figure 3 shows the force response characteristic that might be associated with misalignment, a rub, or looseness. The soft and progressive change in restraint of misalignment with some types of couplings like gear, Bendix disk, or elastomer donut is more subtle. A non-linear model for misalignment can do a creditable job of explaining its apparently inconsistent characteristics [7].

Modeling a non-linear system : A power series can be used to describe the force response characteristic of the progressively more non-linear systems, as illustrated in Figure 3. It has the form:

A + BX + CX2 + DX3 + …… MXN EQ(1)

Where A,B,C,D,M, and N are arbitrary coefficients; X is the independent variable, in our case force. It may be a single force or the sum of independent forces.”

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