MACHINES

Possibility of using the acoustic emission method for monitoring deviations in the operation of the valve mechanism of an internal combustion engine

  • 1 Riga Technical University, Riga, Latvia

Abstract

Current diagnostic approaches, although widely applied, often fail to identify defects at the earliest stages of their development. This limitation not only reduces operational efficiency but also results in unplanned downtime, costly repairs, and increased risks to both personnel and the environment. Unlike conventional techniques, AE enables real-time detection of microstructural changes associated with defect initiation and provides valuable information about their severity and rate of progression. Obtained results confirm that the AE method allows reliable identification of early-stage defects, enabling the prediction of their further development and the assessment of the technical condition of critical engine components. These findings demonstrate that AE-based monitoring can serve as an effective diagnostic and prognostic tool, enhancing the safety, energy and environmental efficiency. The study involved placing AE sensors on specific areas of the engine. The engine was then operated in various modes, with the AE system recording AE signals. The results were analyzed (express analysis) to identify the sources of the AE signals.

Keywords

References

  1. Aleshin I.P., Beliy V.E. Methods for acoustic control of metals. Moscow: Mechanical Engineering. 1989, 456 p. (in Russian).
  2. NTC NefteGazDiagnostika, URL: https://ntcngd.com/uslugi/article_post/tehnicheskoe-diagnostirovaniei-ekspertiza-promyshlennoy-bez (see 20.12.2021.)
  3. Urbahs A., Unbedahts A. Acoustic Emission Method Evaluation for High Speed Ship Engines Condition Monitoring. Transport Means, ISSN 1822-296x, 2015, p. 587 - 590.
  4. Carjova, K., Banovs, M., Unbedahts, A., Strautmanis, G., Vinogradovs L., Kurjanovics, I. Characteristics of mathematical modeling of acoustic emission method for diagnosis of fatigue cracks in the elements of marine power plants. Latvian Journal of Physics and Technical Sciences, 2023, Vol. 60, No. 5, 3.-14.lpp. ISSN 0868-8257. Pieejams: doi:10.2478/lpts-2023-0026
  5. S. Liu, F. Gu, and A. Ball, “Detection of engine valve faults by vibration signals measured on the cylinder head,” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, vol. 220, no. 3, pp. 379–386, Mar. 2006, doi: 10.1243/09544070JAUTO90.
  6. S. Sann, E. Tomeh, T. Petr, T. Zvolský, and R. Voženílek, “Early-Stage Detection of Engine and Transmission Using Order Analysis,” in Advances in Mechanism Design IV, vol. 171, J. Beran, M. Bílek, M. Václavík, and P. Zabka, Eds., in Mechanisms and Machine Science, vol. 171. , Cham:Springer Nature Switzerland, 2024, pp. 94–104. doi: 10.1007/978-3-031-70251-8_10.
  7. CALS in aircraft manufacturing / A. G. Bratukhin [et al.]. Moscow: MAI, 2000. 300 p.
  8. Structural analysis of systems: IDEF technologies / S. V. Cheremnykh [et al.]. Moscow: Finance and Statistics, 2001. 208 p.

Article full text

Download PDF