Engineers from Novosibirsk State Technical University "NETI" have developed a program for classifying power line supports into groups according to the degree of wear, which automatically allows ranking structures into categories for more efficient maintenance and repair cost planning.
Typically, the condition of power line supports is diagnosed by specialists who, every six years, record about 20 parameters: the degree of deformation of the angles, damage to insulators, loosening of the support's attachment to the foundation, inclination of the structure, etc. At NSTU "NETI", it was proposed to determine the degree of wear of the supports using a special program based on experimentally determined frequencies of the structure's oscillations.
The diagnosis of supports is based on a control parameter such as the natural frequency of oscillations, which is determined using a special sensor "LEPTON-1", developed at NSTU "NETI" several years ago.
The sensors installed on the support structure collect large amounts of data, so we needed software that automatically processes the information and ranks the supports according to the degree of wear — from serviceable to limitedly serviceable.
The NSTU "NETI" software has already received a certificate of registration of a computer program (No. 2025688297 dated 10/17/2025) and is used in the educational process when introducing students to modern approaches to diagnosing the condition of energy structures.
The program was written jointly with a postgraduate student of the PLA department, Pavel Lastochkin, during the preparation of his Ph.D. thesis. NSTU "NETI" considers the development unique.
There are no analogues to our program, which works on frequency, in the domestic energy sector. In addition, our software allows us to significantly save money on diagnostics and the working time of specialists.
