Article
Version 1
Preserved in Portico This version is not peer-reviewed
Correlative Method for Diagnosing Gas-Turbine Tribological Systems
Version 1
: Received: 27 May 2023 / Approved: 30 May 2023 / Online: 30 May 2023 (04:36:03 CEST)
A peer-reviewed article of this Preprint also exists.
Deliś, M.; Kłysz, S.; Przysowa, R. Correlative Method for Diagnosing Gas-Turbine Tribological Systems. Sensors 2023, 23, 5738. Deliś, M.; Kłysz, S.; Przysowa, R. Correlative Method for Diagnosing Gas-Turbine Tribological Systems. Sensors 2023, 23, 5738.
Abstract
Lubricated tribosystems such as main-shaft bearings in gas turbines have been successfully diagnosed by oil sampling for many years. In practice, the interpretation of wear debris analysis results can pose a challenge due to the intricate structure of power transmission systems and the varying degrees of sensitivity among test methods. In this work, oil samples acquired from the fleet of M601T turboprop engines were tested with optical emission spectrometry. Two-way analysis of variance (ANOVA) with interaction analysis and post hoc tests were carried out on measurement data from the whole fleet of the M-601T turboprop engines to study the impact of aluminum and zinc concentration on iron concentration. Finally, the developed model was used to evaluate the oil testing results for two specific engines of this type. Thanks to ANOVA, the assessment of engine health is based on a statistically proven correlation between the values of the dependent variable and the classifying factors.
Keywords
wear debris; oil analysis; emission spectroscopy; turboprop; propeller governor; ANOVA; interaction analysis; condition indicator
Subject
Engineering, Aerospace Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment