Robust bearing fault diagnosis under strong impulsive interference via envelope spectrum harmonic-to-noise ratio guided sparse filtering
Early fault signatures of rolling bearings are typically very weak and are often contaminated by strong background noise and random impulsive interference. Traditional kurtosis-based feature extraction methods are highly sensitive to non-fault-related large random impacts, which may result in incorrect frequency-band s...