We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Sparse Envelope Spectra for Feature Extraction of Bearing Faults Based on NMF.
- Authors
Liang, Lin; Shan, Lei; Liu, Fei; Niu, Ben; Xu, Guanghua
- Abstract
Featured Application: Except for rolling bearings, this method is also used for analysis of the impact modulation cause by gear localized faults. Periodic impulses and the oscillation response signal are the vital feature indicators of rolling bearing faults. However, finding the suitable feature frequency band is usually difficult due to the interferences of other components and multiple resonance regions. According to the characteristics of non-negative matrix factorization (NMF) on a spectrogram, the feature extraction method from a sparse envelope spectrum for rolling bearing faults is proposed in this paper. On the basis of the time–frequency distribution (TFD) of the periodic transient oscillations, the basic matrix can be interpreted as the spectral bases, and the time weight matrix corresponding to spectral bases can be extracted by NMF. Because the bases and the weights have a one-to-one correspondence, the frequency band filtering with the basic component and the time domain envelope of the weight vector are calculated respectively. Then, the sparse envelope spectrum can be derived by the inner product of the above results. The effectiveness of the proposed method is verified by simulations and experiments. Compared with band-pass filtering and spectral kurtosis methods, and considering the time weights and corresponding the spectral bases for the periodic transient oscillations, the weak fault-rated feature can be enhanced in the sparse spectrum, while other components and noise are weakened. Therefore, the proposed method can reduce the requirement of selecting frequency band filtering.
- Subjects
KURTOSIS; FEATURE extraction; NONNEGATIVE matrices; IMPULSE response; OSCILLATIONS
- Publication
Applied Sciences (2076-3417), 2019, Vol 9, Issue 4, p755
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app9040755