Early detection of gear-tooth bending-fatigue damage by the Average-Log-Ratio ALR algorithm

Author:

Mark William D.,Wagner Matthew E.,Isaacson Aaron C.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference32 articles.

1. A simple frequency-domain algorithm for early detection of damaged gear teeth;Mark;Mech. Syst. Sig. Process.,2010

2. Bending-fatigue damage-detection on notched-tooth spiral-bevel gears using the average-log-ratio, ALR, algorithm;Hines;Mech. Syst. Sig. Process.,2014

3. Frequency-domain assessment of gear-tooth bending-fatigue damage-progression using the average-log-ratio, ALR, algorithm;Mark;Mech. Syst. Sig. Process.,2014

4. Behavior of the average-log-ratio ALR gear-damage detection algorithm in cases of a single damage form, Proc. I Mech E. Part C: J Mechanical Engineering;Mark;Science,2021

5. Implementation of the Average-Log-Ratio ALR gear-damage detection algorithm on gear-fatigue-test recordings;Wagner;Mech. Syst. Sig. Process.,2021

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1. Effect of tooth root fillet on root bending stress;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2024-01-19

2. Few-shot fatigue damage evaluation of aircraft structure using neural augmentation and deep transfer learning;Engineering Failure Analysis;2023-06

3. Detection and diagnosis of gear-tooth pitting damage by the Average-Log-Ratio ALR algorithm;Mechanical Systems and Signal Processing;2023-03

4. Removal of transfer function effects from gear vibration signals under constant and variable speed conditions;Mechanical Systems and Signal Processing;2023-02

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