ISSN (print) 1995-2732
ISSN (online) 2412-9003


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DOI: 10.18503/1995-2732-2020-18-1-80-89


The paper provides a brief analysis of the problem of diagnosing a current state of asynchronous AC motors with a list of main currently used diagnostic methods, including stator current signature analysis, external magnetic field analysis, vibration diagnostics and temperature monitoring of the most critical units. It is noted that now in industry there is a gradual transition from the concept of “planned maintenance” of technological equipment to a more efficient concept of condition-based maintenance. The latter, related to the basic technologies of the industrial Internet of things (IIoT), involves acquisition of data on the state of a large number of electric motors in operation, using specialized autonomous measuring modules (Smart Sensors). The basic requirements for autonomous measuring modules of IIoT systems are indicated. The paper contains the table of characteristics of the indicated modules by leading world manufacturers. It lists and briefly characterizes the studies carried out by a specialized team of developers in the field of smart sensors, including the modeling of various motor malfunctions, the development of bench equipment for simulating malfunctions, the study of various options for attaching the module to an electric motor, and the studies carried out to ensure the required battery life of the module offline. The authors described the main stages of creating a module intended for converting physical quantities, characterizing the state of a controlled electric machine, into electrical signals, converting these signals into a digital form, accumulating and analyzing the received data by transmitting them via a wireless communication channel to a specialized data processing server. The characteristics of the developed module obtained as a result of testing are given.


Electric motor, diagnostics, measuring module.

For citation

Pyrko S.А., Mitioglo A.M., Ishmetyev E.N. Autonomous Measuring Modules for Electric Motor Diagnostic Systems. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2020, vol. 18, no. 1, pp. 80–89.

Sergey А. Pyrko – Chief Designer

LLC Bureau of System Programming, Moscow, Russia

Alexey M. Mitioglo – Deputy General Director for Economics and Finance

PJSC Interstate Joint Stock Corporation Vympel, Moscow, Russia

Evgeniy N. Ishmetyev – DrSc (Eng.)

Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia

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