Open AccessAir Compressor Fault Diagnosis Through Vibration Signals using Statistical Features and J48 Algorithms
Author(s) -
S. S. Aravinth,
K. Rajesh Kanna,
V. Sugumaran
Publication year - 2016
Publication title -
indian journal of science and technology
Language(s) - English
Resource type - Journals
eISSN - 0974-6846
pISSN - 0974-5645
DOI - 10.17485/ijst/2016/v9i47/107912
Subject(s) - c4.5 algorithm , reciprocating compressor , fault (geology) , accelerometer , computer science , gas compressor , vibration , algorithm , decision tree , air compressor , fault detection and isolation , condition monitoring , statistical classification , artificial intelligence , acoustics , engineering , naive bayes classifier , support vector machine , geology , mechanical engineering , physics , actuator , electrical engineering , aerospace engineering , seismology , operating system