Bearing Faults Detection Using Statistical Feature Extraction and Probability Based Distance: A Comparative Study - Archive ouverte HAL Access content directly
Conference Papers Year :

Bearing Faults Detection Using Statistical Feature Extraction and Probability Based Distance: A Comparative Study

Junjie Yang
Laboratoire des signaux et systèmes
Claude Delpha
Laboratoire des signaux et systèmes
CV

Domains

Engineering Sciences [physics] Signal and Image processing

Claude Delpha  : Connect in order to contact the contributor

https://hal-centralesupelec.archives-ouvertes.fr/hal-03814216

Submitted on : Thursday, October 13, 2022-6:07:49 PM

Last modification on : Friday, March 24, 2023-2:53:28 PM

Not file

Dates and versions

hal-03814216 , version 1 (13-10-2022)

Identifiers

  • HAL Id : hal-03814216 , version 1

Cite

Junjie Yang, Claude Delpha. Bearing Faults Detection Using Statistical Feature Extraction and Probability Based Distance: A Comparative Study. IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society, Oct 2022, Brussels, Belgium. ⟨hal-03814216⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

CNRS SUP_LSS SUP_SIGNAUX CENTRALESUPELEC UNIV-PARIS-SACLAY GS-COMPUTER-SCIENCE HUB-IA
21 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More