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Article

Applications of Operational Modal Analysis in Gearbox and Induction Motor, Based on Random Decrement Technique and Enhanced Ibrahim Time Method

Laboratory of Industrial Innovation Technology and Robotics (LITIR), Universidad Privada Boliviana (UPB), Cochabamba 3967, Bolivia
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Academic Editors: Alessandro Gasparetto and Alberto Doria
Appl. Sci. 2022, 12(10), 5284; https://doi.org/10.3390/app12105284
Received: 28 December 2021 / Revised: 4 May 2022 / Accepted: 6 May 2022 / Published: 23 May 2022
(This article belongs to the Special Issue Machine Diagnostics and Vibration Analysis)
There have been steadily growing requirements from the academia and industry, demanding non-invasive methods and reliable measurement systems of research devoted to operational mode analysis (OMA). Due to the simplicity of performing only structures surface vibration measurements, OMA is frequently applied in machine fault diagnosis (MFD) and structure health monitoring (SHM). OMA can handle big structures, such as bridges, buildings, machines, etc. However, there is still an open question: how to properly handle the harmonic effects of rotating components and the difficulty of closely estimating space modes are still a nightmare to deal with. Therefore, the main objective of this paper is to identify the structure of natural frequencies by the regeneration of frequency response functions (FRFs) for complex structures based on OMA. The novelty of our approach is to use the random decrement technique (RDT), correlation function estimation (CFE), and enhanced Ibrahim time method (EITM) to overcome OMA’s difficulties and limitations. To reduce further rotational harmonics effects, gear mesh and side band frequencies, digital signal processing techniques based on notching filters, and liftering analysis techniques were also used. All the experiments were performed at the laboratory test rig and conducted by using three accelerometers, one impedance hammer, one force sensor, and one data acquisition board. To reduce data’s variabilities, each test was measured three times for 5 min. The data sampling frequency for all the experiments was 25.6 kHz. To validate the proposed methodology, extensive OMA tests were performed for the generation of FRFs. The measured objects were a steel bar, induction motor, and gearbox. Five structural natural frequencies for the induction motor and eight structural natural frequencies for the gearbox were generated, respectively. View Full-Text
Keywords: operational mode analysis (OMA); vibration analysis; experimental modal analysis; cepstrum analysis; machine diagnosis; random decrement (RD); enhanced time Ibrahim method (ETIM) operational mode analysis (OMA); vibration analysis; experimental modal analysis; cepstrum analysis; machine diagnosis; random decrement (RD); enhanced time Ibrahim method (ETIM)
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MDPI and ACS Style

Castro, G.; Zurita, G. Applications of Operational Modal Analysis in Gearbox and Induction Motor, Based on Random Decrement Technique and Enhanced Ibrahim Time Method. Appl. Sci. 2022, 12, 5284. https://doi.org/10.3390/app12105284

AMA Style

Castro G, Zurita G. Applications of Operational Modal Analysis in Gearbox and Induction Motor, Based on Random Decrement Technique and Enhanced Ibrahim Time Method. Applied Sciences. 2022; 12(10):5284. https://doi.org/10.3390/app12105284

Chicago/Turabian Style

Castro, Gabriel, and Grover Zurita. 2022. "Applications of Operational Modal Analysis in Gearbox and Induction Motor, Based on Random Decrement Technique and Enhanced Ibrahim Time Method" Applied Sciences 12, no. 10: 5284. https://doi.org/10.3390/app12105284

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