Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

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Journal

Title: Signal Processing

Abbreviated Title: Signal Processing

Publisher: Elsevier BV

ISSN (Print): 01651684

Publication date Created: January 2017

Publication date (Print): January 2017

Volume: 130

Pages: 377-388

Article

DOI: 10.1016/j.sigpro.2016.07.028

SO-VID: 8ead101f-a24f-49e1-a2d6-0d81e0eedb14

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http://www.elsevier.com/tdm/userlicense/1.0/

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