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AuthorMohammed, Omar D.
AuthorSassi, Sadok
Available date2023-12-07T11:43:01Z
Publication Date2022-05
Publication NameProceedings - 2022 Prognostics and Health Management Conference, PHM-London 2022
Identifierhttp://dx.doi.org/10.1109/PHM2022-London52454.2022.00029
CitationMohammed, O. D., & Sassi, S. (2022, May). Gear Tooth Crack Detection Using Modal Analysis. In 2022 Prognostics and Health Management Conference (PHM-2022 London) (pp. 119-126). IEEE.
ISBN978-1-6654-7955-4
ISSN2166-5656
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85134892420&origin=inward
URIhttp://hdl.handle.net/10576/50276
AbstractThis paper aims to propose an experimental method to detect and quantify the existence of cracks in spur gear teeth using modal analysis. Frequency Response Functions FRFs obtained analytically in previous work are considered to be validated experimentally in the current work. The analytical method using FRFs, which were applied in Ref. [28] for certain crack sizes, is validated here experimentally by using hammer test and measuring the vibration response of a neighbouring tooth. The results obtained from the modal analysis testing shows a considerable response peak deviation from the original peak location of the healthy case. The deviation becomes more for bigger crack sizes. This experimental result, using the method developed and explained in this work, validates the analytical method applied previously using FRFs.
Languageen
PublisherIEEE
Subjectcrack detection
FRF
Gears
modal analysis
tooth root
TitleGear Tooth Crack Detection Using Modal Analysis
TypeConference Paper
Pagination119-126
ESSN2166-563X
EISBN978-1-6654-7954-7


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