Rolling bearing weak fault detection using transient structure‐optimal VMD and adaptive group sparse coding
Xing Yuan,
Hui Liu,
Huijie Zhang
Abstract:Rolling bearings are essential parts in machine equipment and detecting damage in the early stage is crucial for ensuring the safe production and machine life. However, it is difficult to extract weak fault features under strong background noise, discrete harmonic frequency interference and non‐stationary service conditions. This investigation proposes a hybrid fault diagnosis approach utilizing transient structure‐optimal variational mode decomposition (TS‐OVMD) and adaptive group sparse coding (AGSC) for add… Show more
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