Abstract
In the area of modal balancing, it is essential to identify the vibration modes to be balanced in order to obtain the different modal parameters that will allow knowing the correction weight and its position in the balance planes. However, in some cases, a single mode is apparently observed in the polar response diagrams used for this process, which actually contains at least two modes and which, when added vectorially, shows only one apparent mode. In these cases, in addition to the intrinsic errors when using a modal parameter extraction tool, there will be errors in determining the correction weight for the modes, as well as for the placement angle. In this work, an identification methodology is presented which, through the use of coordinate transformation and a modal parameter extraction tool, allows identifying characteristic patterns of close modes in frequency and which, when applied in the study of a system in the field, offers robustness and applicability.
Highlights
There are modal parameter extraction methodologies, such as those presented by Ewin in [4], designed for structures and which can be adapted for rotating systems through circle adjustment, such as the AMODAL software owned by the National Institute for Electricity and Clean Energy
The balancing process consists of determining the mass to be placed on the rotor to allowThe reducing highprocess vibration levels.of
These balancing processes are commonly applied allow reducing high vibration levels
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. There is currently little information about its effect when using either the influence coefficient or the modal balancing technique due to the modal balancing operating principle, the negative effect would be greater, as it would be necessary to use the modal parameters in resonance from the different modes present in the response diagrams generated (natural frequency, damping ratio, vibration amplitude, and phase angle). A partial result is presented of the study carried out on the vibration signals obtained from two field turbogenerators (units with the same technical characteristics) configured to identify the natural frequencies of the different equipment, with the presence of close modes being found during this process
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