Machine learning based online fault prognostics for nonstationary industrial process via degradation feature extraction and temporal smoothness analysis
Crossref DOI link: https://doi.org/10.1007/s11771-021-4848-x
Published Online: 2022-01-19
Published Print: 2021-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hu, Yun-yun
Zhao, Chun-hui http://orcid.org/0000-0002-0254-5763
Ke, Zhi-wu http://orcid.org/0000-0001-9027-0693
Text and Data Mining valid from 2021-12-01
Version of Record valid from 2021-12-01
Article History
Received: 1 January 2021
Accepted: 19 March 2021
First Online: 19 January 2022