Dynamic Modeling of the Gear Transmission for Detecting the Separate and Simultaneous Tooth Fracture Using the Statistical Process Control Technique
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57324-8_23
Reference18 articles.
1. Allen, T.T.: Introduction to engineering statistics and lean six sigma: Statistical quality control and design of experiments and systems. Springer-Verlag London Ltd., part of Springer Nature (2019), 3rd edn. London, UK (2018)
2. Chen, Y., Zhu, R., Jin, G., Xiong, Y.: Tooth fracture detection in spiral bevel gears system by harmonic response based on finite element method. J. Con. Sci. Eng (2017). https://doi.org/10.1155/2017/3169172
3. Fan, W., Zhou, Q., Li, J., Zhu, Z.: A wavelet-based statistical approach for monitoring and diagnosis of compound faults with application to rolling bearings. IEEE Trans. Auto. Sci. Eng. 15(4), 1563–1572 (2018). https://doi.org/10.1109/TASE.2017.2720177
4. Gecgel, O., Ekwaro-Osire, S., Dias, J.P., Nispel, A., Alemayehu, F.M., Serwadda, A.: Machine learning in crack size estimation of a spur gear pair using simulated vibration data. Mech. Mach. Sci. 61, 175–190 (2019). https://doi.org/10.1007/978-3-319-99268-6_13
5. Huangfu, Y., Chen, K., Ma, H., Li, X., Han, H., Zhao, Z.: Meshing and dynamic characteristics analysis of spalled gear systems: A theoretical and experimental study. Mech. Sys. Sig. Proc. 139 (2020). https://doi.org/10.1016/j.ymssp.2020.106640
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