An enhanced bearing fault diagnosis method based on TVF-EMD and a high-order energy operator

作者：Xu, Yuanbo; Cai, Zongyan^*; Ding, Kai

来源：Measurement Science and Technology, 2018, 29(9): 095108.

DOI：10.1088/1361-6501/aad499

• TVF-EMD
• high-order energy operator
• fault diagnosis
• rolling element bearings

An enhanced fault diagnosis method for rolling element bearings using a combination of time-varying filtering for empirical mode decomposition (TVF-EMD) and a high-order energy operator (HO-EO) is proposed in this paper. Empirical mode decomposition (EMD), as a classical mode decomposition technique, has been widely used in quite a few fields. However, the separation problem and the intermittent problem, which can give rise to mode mixing, still remain unresolved. TVF-EMD is capable of improving mode mixing in comparison with EMD. In addition, TVF-EMD is more robust to noise than EMD. These improvements ensure that the vibration signal is decomposed into multiple meaningful empirical modes precisely, known as intrinsic mode functions (IMFs). Then, the meaningful IMFs are selected to be processed by HO-EO. HO-EO is very suitable for bearing fault diagnosis as a demodulation algorithm. Moreover, compared with traditional energy operators, it is more robust to strong noise and vibration interference, so it has a higher accuracy. With this proposed method, the weak bearing fault signature can be distinguished precisely in the energy spectrum. In order to verify the proposed method, single-and dual-fault bearings are used. The experimental results reveal that the proposed method is a powerful and effective tool for bearings fault diagnosis.

• 出版日期2018-9
• 单位长安大学