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Hybrid Diagnostics Systems for Power Generators Faults: Systems Design Principle and Shaft Run-Out Sensors

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Power Systems Research and Operation

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 388))

Abstract

One of the ensuring stable and reliable electricity production problems is determine the technical condition of the means of generating electricity. This is necessary since more than 80% of the electricity in the Ukraine energy system is generate by powerful generators of nuclear power plants (NPP), thermal power plants(TPP), hydroelectric power plants (HPP) and pumped storage power plants (PSPP) with wear from 70 to 90%. One of the ways out of the situation it is the replacement of equipment on the new. This approach requires the attraction of significant monetary investments, which in the context of the global economic crisis is a rather difficult task. Another way is to use systems for diagnosing the actual technical state of powerful generators. The use of such systems will improve operational efficiency equipment to reduce the time and cost of maintenance and repairs, reduce the risk of accidents and failures by timely detection of defects in the machine during its operation, as well as make the right decisions to eliminate them and move from scheduled repairs to repairs on the actual condition of powerful generators.To assess the condition of generators as mechanical systems, diagnostic systems in addition to vibration sensors are use meters of mechanical parameters—the air gap between the stator and the rotor, the radial and axial beating of the shaft, mechanical forces in the tensioning prisms and others special sensors. Improving the metrological and technical characteristics of such meters will make better the control and diagnostic systems, and as a result—increase the reliability and durability of machines. So, this chapter presents:

  • Ukraine power generators current state;

  • design principle for developing hybrid fault control and diagnosis system for diagnostics mechanical faults in power generators;

  • capacitive shaft run-out sensors structures;

  • influence work magnetic field and temperature on capacitive shaft run-out sensor characteristics;

  • influence technological factors on capacitive shaft run-out sensor characteristics.

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Authors and Affiliations

  1. Institute of Electrodynamics of NAS of Ukraine, Kyiv, Ukraine

    Ievgen Zaitsev, Anatolii Levytskyi &  Victoriia Bereznychenko

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  1. Ievgen Zaitsev
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  2. Anatolii Levytskyi
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  3. Victoriia Bereznychenko
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Correspondence to Ievgen Zaitsev .

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Editors and Affiliations

  1. Institute of Electrodynamics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Olexandr Kyrylenko

  2. Institute of Electrodynamics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Andrii Zharkin

  3. Institute of Electrodynamics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Oleksandr Butkevych

  4. Institute of Electrodynamics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Ihor Blinov

  5. Institute of Electrodynamics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Ievgen Zaitsev

  6. Institute of Engineering Thermophysics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

    Artur Zaporozhets

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Zaitsev, ., Levytskyi, A., Bereznychenko, . (2022). Hybrid Diagnostics Systems for Power Generators Faults: Systems Design Principle and Shaft Run-Out Sensors. In: Kyrylenko, O., Zharkin, A., Butkevych, O., Blinov, I., Zaitsev, I., Zaporozhets, A. (eds) Power Systems Research and Operation. Studies in Systems, Decision and Control, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-030-82926-1_4

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