Mr. Tristian Little Profile

Tristian Little

at Kent State Univ

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Proceedings Article | 18 April 2022 Presentation + Paper

Engine rotor health monitoring: an experimental approach to fault detection using a machine fault simulator

Ali Abdul-Aziz, Stanley Nerkowski, Tristian Little

Proceedings Volume 12047, 1204716 (2022) https://doi.org/10.1117/12.2614950

KEYWORDS: MATLAB, Failure analysis, Vibrometry, Analytical research, Aerospace engineering, Actuators, Performance modeling, Particles, Manufacturing, Inspection

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Turbine engine components are continuously being improved and updated to meet flight safety and durability requirements. This leads to having engine manufacturers try to fulfill their commitments in securing products that offer superior operational security and strength. Most of their concerns or interest lies in the developments of the rotating components such as the rotor disk. These components typically undergo severe operating conditions and are subject to high centrifugal loadings which expose them to various failure mechanisms [1, 2]. Therefore, to alleviate these design issues, health monitoring, experimental testing and analytical validations are a must. As a result, simulation tests studies are conducted to emulate faults in a rotating disk using a highly specialized machinery fault simulator (MFS) with capabilities to replicate problems with balancing, alignments, and bearing defects. Consequently, this paper is focused on demonstrating the applicability of having such technical innovation to help assess the health of a turbine engine like rotating components employing a rotor dynamics approach. This study takes the fault vibration readings at multiple motor speeds and discusses how they can be related to real faults in other machines such as engines and transmissions. Data obtained from these tests related to investigating rotor vibration response under imbalance and shaft misalignments conditions based on frequency and amplitude measurements are presented.

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