Improved similarity-based modeling for the classification of rotating-machine failures

DOI10.1016/J.JFRANKLIN.2017.07.038zbMath1395.90135OpenAlexW2741636173MaRDI QIDQ1661468

Felipe M. L. Ribeiro, Matheus A. Marins, Eduardo A. B. da Silva, Sergio L. Netto

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.07.038

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Reliability, availability, maintenance, inspection in operations research (90B25) Fault detection; testing in circuits and networks (94C12) Interpolation in approximation theory (41A05) Sequential estimation (62L12)

Uses Software

• Scikit

Cites Work

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• Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm
• Bearing fault diagnosis based on multiscale permutation entropy and support vector machine
• Interpolation of scattered data: distance matrices and conditionally positive definite functions

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