Diagnosis of multiple coexisting mechanical faults of electric equipment: an EEMD-SVM vibration signal processing approach

摘要

In this paper, we presented a novel solution using ensemble empirical mode decomposition and support vector machine joint approach to efficiently identify the multiple coexisting faults in the operational rotational machinery. To further improve the performance of SVM models, the EEMD is used to decompose the collected field vibration signals into a set of intrinsic mode functions (IMFs). The presented approach is validated using simulation experiments based on the benchmark vibration data. The numerical result confirmed the feasibility and effectiveness of the proposed solution..