Open AccessApplication of FURIA for Finding the Faults in a Hydraulic Brake System Using a Vibration Analysis through a Machine Learning Approach
Author(s) -
Alamelu Manghai T M,
R. Jegadeeshwaran
Publication year - 2019
Publication title -
international journal of prognostics and health management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.336
H-Index - 21
ISSN - 2153-2648
DOI - 10.36001/ijphm.2019.v10i1.2748
Subject(s) - brake , c4.5 algorithm , fault (geology) , vibration , decision tree , computer science , hydraulic machinery , engineering , process (computing) , pruning , reduction (mathematics) , artificial intelligence , control engineering , control theory (sociology) , automotive engineering , pattern recognition (psychology) , support vector machine , mathematics , acoustics , naive bayes classifier , mechanical engineering , agronomy , physics , seismology , biology , geology , operating system , geometry , control (management)