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Vibration signals induced by faulty roller bearing usually contain much interference, which increases the difficulty of fault diagnosis. Thus, it is significant to enhance the fault features and carry out noise reduction. To achieve fault feature enhancement for roller bearing, a novel method based on Majorization-Minimization (MM) algorithm is developed in this study. First, a sparsity optimization...
This paper considers the problem of recovering a sparse signal representation according to a signal dictionary. This problem could be formalized as a penalized least-squares problem in which sparsity is usually induced by a lscr1-norm penalty on the coefficients. Such an approach known as the Lasso or Basis Pursuit Denoising has been shown to perform reasonably well in some situations. However, it...
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