Rotor Crack Depth Estimation Using Recurrence Quantification Analysis
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8986-7_17
Reference35 articles.
1. Haj Mohamad T, Cavalini AA, Steffen V, Nataraj C. Detection of cracks in a rotating shaft using density characterization of orbit plots. In: Proceedings of the 10th International Conference on Rotor Dynamics—IFToMM. vol. 61. Cham: Springer;2019.pp. 90–104. https://doi.org/10.1007/978-3-319-99268-6_7.
2. Sabnavis G, Kirk RG, Kasarda M, Quinn D. Cracked shaft detection and diagnostics: a literature review. The Shock and Vibr Digest. 2004;36:287–96. https://doi.org/10.1177/0583102404045439.
3. Bachschmid N, Pennacchi P, Tanzi E, Vania A. Identification of transverse crack position and depth in rotor systems. Meccanica. 2000;35:563–82. https://doi.org/10.1023/A:1010562205385.
4. Janssens O, Slavkovikj V, Vervisch B, Stockman K, Loccufier M, Verstockt S, et al. Convolutional neural network based fault detection for rotating machinery. J Sound Vibr. 2016;377:331–45. https://doi.org/10.1016/j.jsv.2016.05.027.
5. Haj Mohamad T, Samadani M, Nataraj C. Rolling element bearing diagnostics using extended phase space topology. J Vibr Acoust. 2018;140. https://doi.org/10.1115/1.4040041.
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