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Fault Diagnosis of Helical Gear Box using Vibration Signals through Random Tree and Wavelet Features
Author(s) -
Abhi Srivastava,
Ameet Singh,
V. Sugumaran,
M. Amarnath
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/v9i33/101330
Subject(s) - computer science , vibration , wavelet , pattern recognition (psychology) , random forest , artificial intelligence , decision tree , fault (geology) , tree (set theory) , feature extraction , decision tree learning , fault tree analysis , feature (linguistics) , mathematics , engineering , acoustics , mathematical analysis , physics , seismology , geology , linguistics , philosophy , reliability engineering

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