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Performance of Time Domain Indicators for Gear Tooth Root Crack Detection and Their Noise-Sensitivity
Division of Operation, Maintenance and Acoustics, Luleå University of Technology, Luleå, Sweden; Mechanical Engineering Department, College of Engineering, University of Mosul, Mosul, Iraq.ORCID iD: 0000-0003-2681-3707
Division of Operation, Maintenance and Acoustics, Luleå University of Technology, Luleå, Sweden.
2014 (English)In: Advances in Condition Monitoring of Machinery in Non-Stationary Operations: Proceedings of the third International Conference on Condition Monitoring of Machinery in Non-Stationary Operations CMMNO 2013 / [ed] Giorgio Dalpiaz; Riccardo Rubini; Gianluca D'Elia; Marco Cocconcelli; Fakher Chaari; Radoslaw Zimroz; Walter Bartelmus; Mohamed Haddar, Springer, 2014, p. 303-312Conference paper, Published paper (Refereed)
Abstract [en]

There are different statistical fault detection indicators applied in the time domain to detect crack propagation in the gear tooth root. 'TALAF' and 'THIKAT' are two newly presented indicators which have been designed and recommended to improve the performance of ball bearing fault detection after a certain stage of degradation. This chapter studies the performance of these two new indicators, together with the RMS, kurtosis and crest factor indicators, in the context of detecting faults in the gear tooth root. The chapter also presents an investigation of the performance of these indicators in the presence of three levels of random background noise. Gear mesh stiffness calculations and dynamic simulation have been performed using Matlab (TM) to obtain the residual gear centre point displacement signals for different crack propagation cases. The simulations indicate that the RMS and kurtosis perform well for crack depths up to approximately 50 % of the tooth root thickness. Kurtosis and THIKAT show the most sensitive performance with an increasing noise level.

Place, publisher, year, edition, pages
Springer, 2014. p. 303-312
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
Keywords [en]
Crack propagation, Gear mesh stiffness, Vibration-based diagnosis, Fault detection indicators, Background noise
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:oru:diva-123135DOI: 10.1007/978-3-642-39348-8_25ISI: 000334677400025ISBN: 9783642393488 (electronic)ISBN: 9783642393471 (print)OAI: oai:DiVA.org:oru-123135DiVA, id: diva2:1993158
Conference
3rd International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO 2013), Ferrara, Italy, May 8-10, 2013
Available from: 2025-08-29 Created: 2025-08-29 Last updated: 2025-08-29Bibliographically approved

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Mohammed, Omar D.

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