LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Enhancement of decomposed spectral coherence using sparse nonnegative matrix factorization

Photo by neonbrand from unsplash

Abstract Integration of the spectral coherence over the domain of spectral frequency is one popular way for reaching the envelope spectrum which is an indispensable tool for the fault diagnosis… Click to show full abstract

Abstract Integration of the spectral coherence over the domain of spectral frequency is one popular way for reaching the envelope spectrum which is an indispensable tool for the fault diagnosis of rotating machineries. Envelope spectrum can be enhanced by introducing a decomposition of spectral coherence with the aid of nonnegative matrix factorization frequently exploited for the data clustering. Based on this regime, the present study aims to deal with further improvement of the envelope spectrum by taking two major considerations. First, it is to impose a sparsity constraint to the minimization problem treated in the standard NMF, eventually allowing a sparse representation of the envelope spectrum. By taking advantage of a randomness of NMF solution, the second is to establish how to correctly choose the number of clusters, a prerequisite for starting the NMF algorithm. Finally, the suggested method is verified throughout a synthetic data and experimental measurement from propeller cavitation.

Keywords: matrix factorization; coherence; spectral coherence; envelope spectrum; nonnegative matrix

Journal Title: Mechanical Systems and Signal Processing
Year Published: 2021

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.