1. Contactless laser control and measuring complex for determining the level of winding pressure and magnetic conductor of power transformer
- Author
-
O. V. Vladimirov, M. F. Nizamiev, I. V. Ivshin, and V. R. Basenko
- Subjects
TK1001-1841 ,Materials science ,business.industry ,labview software ,020209 energy ,Electrical engineering ,power transformer ,02 engineering and technology ,Laser ,non-contact laser control and measuring complex ,law.invention ,Conductor ,vibration parameters ,Production of electric energy or power. Powerplants. Central stations ,020303 mechanical engineering & transports ,0203 mechanical engineering ,law ,0202 electrical engineering, electronic engineering, information engineering ,technical condition monitoring ,business ,laser vibrometer - Abstract
TARGET. The purpose of this work is to develop a non-contact laser control and measuring complex (LCMC) for vibration control of the level of pressing of windings and magnetic circuit of a power transformer. A laser vibrometer is used as a measuring element, the developed software in the LabVIEW graphical programming environment serves as a tool for processing vibration signals. The technical condition of the power transformer is analyzed by the amplitude spectra of the vibration of the tank of the transformer under study, formed using the fast Fourier transform algorithm in the LabVIEW software.METHODS. The vibration control method makes it possible to control a power transformer during its operation under voltage, which makes it possible to move from a planned system of transformer repairs to a system for taking out for repair according to the current technical condition.RESULTS. The developed LCMC allows to carry out non-contact measurements of vibration parameters of a power transformer under voltage and to establish the current level of pressing of windings and magnetic circuit.CONCLUSION. The developed LCMC with software allows contactless control of the technical condition of the magnetic circuit and the windings of the power transformer according to the amplitude-frequency characteristics of the vibration parameters, as well as the use of statistical methods for processing and analyzing signals received from the transformer.
- Published
- 2021