MOSCOW, 17 Jul. Russian scientists have developed and implemented a unique technique for obtaining real-time information about the technical condition of industrial equipment during its operation. The device, which uses the methodology and diagnostic methods proposed at OmSTU, analyzes the vibroacoustic signal, the slightest changes in the parameters of which indicate certain mechanical damage to equipment components, the press service of the university reported.
Experts from the Omsk State Technical University (OmSTU) believe that problems with a reliable assessment of the current state of equipment, especially in hazardous and continuous industries, exist all over the world and are of paramount relevance. The development of new diagnostic approaches for detecting a malfunction of the operating equipment of the device is one of the most important research areas in technical sciences.
According to the head of the study, Professor of the Department of Radio Engineering Devices and Diagnostic Systems of Omsk State Technical University Alexander Naumenko, the essence of the problem of diagnostics comes down to the selection and justification of informative signal parameters that would most accurately assess the condition of the equipment and determine the presence, type and degree of danger of a defect. 122/volggtu-1833174857.html» data->
To assess the operation of industrial devices, OmSTU scientists use an acoustic signal — sound. “When cracks appear and develop, energy is released, which turns into thermal and mechanical energy, which can be “heard” with special equipment,” the professor explained, adding that mechanical energy turns into acoustic waves.
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"Did you break dry branches and hear crackling? Similarly, "cracks" and metal during destruction, but in the range inaudible to humans — from 20 kHz to 2 MHz. Measurements are carried out using acoustic sensors in the range of 60–500 kHz, however, extracting useful information from these signals is usually very difficult due to the presence of a high level of noise and interference of a very different nature,” he noted.
According to scientists, the signal used to assess the state of an object can be described by a whole set of characteristics and parameters.»Usually, devices for measuring and analyzing vibration calculate the standard deviation, peak values of acceleration, speed, displacement, build their spectra. In this device, unlike all known ones, a characteristic function curve (CF) is plotted and the area under the CF curve is calculated. These two parameters make it possible to more reliably assess the state of the control object according to the criteria «Acceptable», «Requires action», «Unacceptable,» explained Alexander Naumenko.
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According to his estimates, this significantly reduces the likelihood of missing a defect or malfunction. «We can already talk about the probability of missing less than 1%, which exceeds the indicator required by the State Standards (the probability of missing 5% is acceptable),» he added.
Scientists of Omsk State Technical University believe that increasing the reliability of assessing the state of equipment will make it possible to move from scheduled preventive maintenance to operation according to the actual state, which will make it possible to increase the turnaround time for continuous production from one year to three to five years. In addition, according to them, there is a significant savings in repair costs, since the staff will know exactly what they have to repair, what spare parts are needed and how long the repair will take. 'A new methodology for assessing the endurance of a «space» alloy is being created in Russia'>
At this stage, the developed device allows assessing the condition of equipment in which there are moving or rotating elements: for example, centrifugal and piston pumps and compressors, electric motors, turbines, gearboxes. In the near future, the university staff plans to expand its functionality by analyzing the parameters of not only the vibroacoustic signal, but also the acoustic emission signal.
OmSTU is a member of the Priority-2030 state university support program.