Multi-fault diagnosis of rolling bearing using two-dimensional feature vector of WP-VMD and PSO-KELM algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07704-6.pdf
Reference39 articles.
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3. Arqub OA, Al-Smadi M (2020) Fuzzy conformable fractional differential equations: novel extended approach and new numerical solutions. Soft Comput 24(16):12501–12522. https://doi.org/10.1007/s00500-020-04687-0
4. Arqub OA, Al-Smadi M, Momani S, Hayat T (2017) Application of reproducing kernel algorithm for solving second-order, two-point fuzzy boundary value problems. Soft Comput 23:7191–7206. https://doi.org/10.1007/s00500-016-2262-3
5. Cao S, Xu F, Ma T (2021) Fault diagnosis of rolling bearing based on multiscale one-dimensional hybrid binary pattern. Measurement. https://doi.org/10.1016/j.measurement.2021.109552
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3. Health Management of Bearings Using Adaptive Parametric VMD and Flying Squirrel Search Algorithms to Optimize SVM;Processes;2024-02-20
4. Shallow machine learning fault diagnosis for industrial equipment based on vibration data;2023 3rd International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM);2023-10-27
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