The following publications are possibly variants of this publication:
- Bearing fault diagnosis based on variational mode decomposition and stochastic resonanceXin Zhang, Huiyu Liu, Heng Zhang, Qiang Miao. icphm 2018: 1-6 [doi]
- An improved variational mode decomposition method based on spectrum reconstruction and segmentation and its application in rolling bearing fault diagnosisZong Meng, Jing Liu, Jingbo Liu, Jimeng Li, Lixiao Cao, Fengjie Fan, Shancheng Yu. dsp, 141:104161, September 2023. [doi]
- Adaptive energy-constrained variational mode decomposition based on spectrum segmentation and its application in fault detection of rolling bearingJimeng Li, Xing Cheng, Qiang Li, Zong Meng. sigpro, 183:108025, 2021. [doi]
- Rolling bearing fault diagnosis based on variational mode decomposition and permutation entropyGuiji Tang, Xiaolong Wang, Yuling He, Shangkun Liu. urai 2016: 626-631 [doi]
- Bearing compound fault diagnosis based on enhanced variational mode extraction algorithmChaoang Xiao, Jianbo Yu, Pu Yang, Shang Yue, Ruixu Zhou, Peilun Liu. icphm 2023: 73-78 [doi]
- A Novel Empirical Variational Mode Decomposition for Early Fault Feature ExtractionBo Xu, Huipeng Li. access, 10:134826-134847, 2022. [doi]