Principal component analysis based signal-to-noise ratio improvement for inchoate faulty signals: Application to ball bearing fault detection

Title
Principal component analysis based signal-to-noise ratio improvement for inchoate faulty signals: Application to ball bearing fault detection
Authors
Keywords
Inchoate faulty signal, principal component analysis (PCA), signal-to-noise ratio (SNR), subspace-based approach
Journal
Publisher
Springer Nature
Online
2017-01-20
DOI
10.1007/s12555-015-0196-7

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search