Automation of diagnostic processes of asynchronous electric motors at compressor stations

Statistical analysis of critical defects of drive units at compressor station shows that bearing and stator winding faults are the main reasons of motor failure. Existing systems for diagnosing the technical condition of drive electric motors developed on outdated methods of autonomous measurement of electrical, mechanical and thermal parameters do not provide reliable results. In this regard, the development of a comprehensive system for operational diagnostics of asynchronous electric motors is relevant. The authors have used the method of spectral analysis of the stator current to detect damage of electric motors and its hardware and software implementation. A method has been proposed for reliable determination of the causes of damage of electric motors based on the spectral composition of current harmonics and a device for its implementation. The use of the proposed diagnostic method allows incipient failure detection of electric motors and drive mechanisms. They are detection and localization of damage of the electrical parts of the stator and rotor, eccentricity, bearing wear, misalignment of the motor and mechanism shafts, belt and gear transmissions, working units (blades and pistons) of compressors. The use of the developed universal diagnostic system for the technical condition of electric motor devices of compressor stations allows us to reduce labor costs for troubleshooting electric motors and driven mechanisms, identify equipment defects at early stages, effectively plan repair work, and increase the energy efficiency of power equipment.