An intrinsic timescale decomposition-based kernel extreme learning machine method to detect tool wear conditions in the milling process
Crossref DOI link: https://doi.org/10.1007/s00170-019-04689-9
Published Online: 2019-12-06
Published Print: 2020-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Lei, Zhi
Zhou, Yuqing http://orcid.org/0000-0002-8580-5427
Sun, Bintao
Sun, Weifang
Funding for this research was provided by:
National Natural Science Foundation of China (51405346)
Text and Data Mining valid from 2019-12-06
Version of Record valid from 2019-12-06
Article History
Received: 9 July 2019
Accepted: 10 November 2019
First Online: 6 December 2019