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Integrated Computer Technologies in Mechanical Engineering pp 371–382Cite as

Lifetime Prediction of Threaded Connections of Hydraulic Turbines Based on Stress State Monitoring System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1113))

Abstract

This work deals with development of a monitoring system for the stress-strain state of bolted connections of hydraulic turbines. The wireless strain gauge module is an autonomous hardware element, with its own embedded power supply. The transfer of information from the module to the data recording and processing equipment is performed by acoustic interlinking through the impeller body and the shaft of the hydrogenerator. Processing the results of measurements of the stress state of bolted joints is carried out using methods for assessing the residual life. The approaches proposed in this work allow constructing a system for monitoring the residual life of bolted connections of hydraulic turbines.

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Authors and Affiliations

  1. Department of Dynamics and Strength of Machines, National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine

    Oleksandr Trubayev, Yurii Ulyanov & Oleksii Vodka

Authors
  1. Oleksandr Trubayev
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  2. Yurii Ulyanov
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  3. Oleksii Vodka
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Corresponding author

Correspondence to Oleksii Vodka .

Editor information

Editors and Affiliations

  1. National Aerospace University "Kharkiv Aviation Institute", Kharkov, Ukraine

    Mykola Nechyporuk

  2. National Aerospace University "Kharkiv Aviation Institute", Kharkov, Ukraine

    Vladimir Pavlikov

  3. National Aerospace University "Kharkiv Aviation Institute", Kharkov, Ukraine

    Dmitriy Kritskiy

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Trubayev, O., Ulyanov, Y., Vodka, O. (2020). Lifetime Prediction of Threaded Connections of Hydraulic Turbines Based on Stress State Monitoring System. In: Nechyporuk, M., Pavlikov, V., Kritskiy, D. (eds) Integrated Computer Technologies in Mechanical Engineering. Advances in Intelligent Systems and Computing, vol 1113. Springer, Cham. https://doi.org/10.1007/978-3-030-37618-5_32

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  • DOI: https://doi.org/10.1007/978-3-030-37618-5_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37617-8

  • Online ISBN: 978-3-030-37618-5

  • eBook Packages: EngineeringEngineering (R0)

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