z-logo
open-access-imgOpen Access
Evaluation of machine learning algorithms for detection of road induced shocks buried in vehicle vibration signals
Author(s) -
Julien Lépine,
Vincent Rouillard,
Michael A. Sek
Publication year - 2018
Publication title -
proceedings of the institution of mechanical engineers part d journal of automobile engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 65
eISSN - 2041-2991
pISSN - 0954-4070
DOI - 10.1177/0954407018756201
Subject(s) - acceleration , road surface , support vector machine , algorithm , vibration , computer science , kernel (algebra) , artificial intelligence , gaussian , track (disk drive) , suspension (topology) , identification (biology) , machine learning , automotive engineering , simulation , engineering , mathematics , acoustics , civil engineering , physics , botany , classical mechanics , combinatorics , quantum mechanics , homotopy , pure mathematics , biology , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom