A.V. Antsev1, D.P. Barsukov2, L.A. Karavdin3, A.A. Kochkarov4, E.I. Minakov5, E.S. Yanov6

1,2,5,6 Tula State University (Tula, Russia)

2,6 Tula Engineering School «Intelligent Defense Systems» named after academician A.G. Shipunov (Tula, Russia)

3 JSC NPO SPLAV named after A.N. Ganichev (Tula, Russia)

4 Financial University under the Government of the Russian Federation (Moscow, Russia)

6 dexaik@mail.ru

In the context of sanctions pressure and the departure of foreign manufacturers from the Russian market, increasing the efficiency of domestic machine-building enterprises is becoming especially relevant, including through the introduction of domestic solutions for monitoring the condition of technological equipment.

The article is devoted to the methodology of choosing piezoelectric accelerometers for use in information and measurement systems (AIS) in order to improve the efficiency of equipment diagnostics at machine-building enterprises.

The main focus is on comparing piezoelectric accelerometers with MEMS accelerometers. Piezoelectric sensors have a wider frequency range (from several Hz to tens of kHz), high sensitivity and resistance to extreme conditions, which makes them preferable for diagnosing defects in bearings, electric motors and other critical equipment components. The article provides a table of comparative analysis, which examines the principle of operation, sensitivity, size, cost and applications of two types of accelerometers.

The authors propose a methodology for choosing the optimal piezoelectric accelerometer based on petal diagrams that visualize standardized technical characteristics (measuring range, sensitivity, bandwidth, etc.). The integral estimate is calculated as the area of the diagram, which allows an objective comparison of models from various manufacturers, such as GlobalTest LLC, Alfatech LLC, ZETLAB Group and EL-SCADA LLC. The best results were shown by the sensors of the AP2045 and AP2038 series, which have a wide frequency range and high reliability.

The introduction of such accelerometers into AIS integrated with artificial intelligence algorithms makes it possible to identify defects at an early stage, minimize equipment downtime and optimize maintenance. This helps to increase security, reduce costs, and increase enterprise productivity.

The article is of practical value for engineers and specialists involved in monitoring and diagnostics of industrial equipment, as well as for researchers in the field of information and measurement systems.

The work was carried out with the financial support of a Grant in the form of a subsidy for scientific research from the Committee on Science and Innovation of the Tula Region No. 15 dated June 21, 2024.

Antsev A.V., Barsukov D.P., Karavdin L.A., Kochkarov A.A., Minakov E.I., Yanov E.S. Method of selecting piezoelectric accelerometers for use in information and measurement systems. Radiotekhnika. 2025. V. 89. № 11. P. 62−71. DOI: https://doi.org/10.18127/j00338486-202511-06 (In Russian)

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