A novel sparse filtering approach based on time-frequency feature extraction and softmax regression for intelligent fault diagnosis under different speeds
Crossref DOI link: https://doi.org/10.1007/s11771-019-4116-5
Published Online: 2019-07-10
Published Print: 2019-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhang, Zhong-wei
Chen, Huai-hai https://orcid.org/0000-0003-4693-0775
Li, Shun-ming
Wang, Jin-rui
Text and Data Mining valid from 2019-06-01
Version of Record valid from 2019-06-01
Article History
Received: 3 January 2018
Accepted: 25 December 2018
First Online: 10 July 2019