Authors: N.V. Ababkov

Title of the article: On the issue of creating a system for searching for key diagnostic features of technical objects: foundations and prerequisites

Year: 2026, Issue: 3, Pages: 25-35

Branch of knowledge: 2.5.9. Methods and devices for monitoring and diagnosing materials, products, substances and the natural environment

Index UDK: 621.785.616

DOI: 10.26730/1999-4125-2026-3-25-35

Abstract: The paper outlines the key diagnostic tasks, including assessment of the technical condition of an object; detection and localization of faults and pre-destruction; prediction of the object's remaining life; monitoring of the object's technical condition. This problem can be solved by developing a fundamentally new approach to solving the key tasks of technical object diagnostics, including assessment of the technical condition of an object; detection and localization of faults and pre-destruction; prediction of the object's remaining life; monitoring of the object's technical condition. The operation process of any technical object is characterized by a change in a set of indicators, parameters and characteristics that can be used as diagnostic features. The applied task is to correctly select the key diagnostic feature. Thus, for example, for heat power equipment, the set of indicators, parameters and characteristics includes: operating modes; geometric dimensions; mechanical characteristics; microstructure parameters; fine structure parameters (dislocation density, amplitude of internal stress fields, etc.); characteristics of non-destructive testing methods. Analyzing such a large number of indicators, parameters, and characteristics is a multi-parameter task that can be solved using modern advances in science and technology, specifically machine learning methods. An analysis of changes in the acoustic and magnetic characteristics of non-destructive testing methods after various periods of long-term operation was conducted to substantiate their use as diagnostic indicators for assessing and predicting the performance and remaining life of equipment. It was established that long-term operation has a direct impact on the performance of non-destructive testing. Acoustic indicators such as the delay time and Rayleigh wave attenuation coefficient increase, while the propagation velocity and attenuation amplitude of the received Rayleigh wave signal decrease with increasing service life of the heat and power equipment metal. An increase in magnetic noise intensity is also observed with increasing service life of the heat and power equipment metal.

Key words: non-destructive testing key diagnostic indicator carbon structural steel heat-resistant structural steel technical object safe operation prediction residual life assessment

Receiving date: 16.05.2026

Approval date: 15.06.2026

Publication date: 27.08.2026

CITE DOWNLOAD