Funder
National Natural Science Foundation of China
Shandong Provincial Natural Science Foundation
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics
Reference36 articles.
1. Li J, Luo W, Chen W (2022) Overview of algorithms for rolling bearing fault diagnosis based on vibration signal. J Xi’an Technol Univ 42(2):18
2. Qin Z (2006) Rolling bearing fault identification method based on wavelet package and support vector machine (in Chinese). Taiyuan Univ Technol
3. Song M, Song H, Xiao S (2017) A study on fault diagnosis method of rolling bearing based on wavelet packet and improved BP neural network. IOP Conf Ser: Mater Sci Eng 274:012133
4. Liu J, Yu X (2021) A rolling element bearing fault diagnosis for complex equipment based on MFMD and BP neural network. J Phys: Conf Ser 1948(1):012133
5. Chegini SN, Bagheri A, Najafi F (2019) A new intelligent fault diagnosis method for bearing in different speeds based on the FDAF-score algorithm, binary particle swarm optimization, and support vector machine. Soft Comput 24:10005–10023
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