Feature-level fusion based on wavelet transform and artificial neural network for fault diagnosis of planetary gearbox using acoustic and vibration signals

Insight: Non-Destructive Testing and Condition Monitoring

Volumn 55, Issue 6, 2013, Pages 323-330

  Khazaee, M ^a   Ahmadi, H ^b   Omid, M ^c   Banakar, A ^d   Moosavian, A ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b SHIRAZ UNIVERSITY   (Iran)

^c UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

^d TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Artificial neural network; Fault diagnosis; Feature level fusion; Planetary gearbox; Wavelet transform

Indexed keywords

CONDITION MONITORING; DATA FUSION; FAILURE ANALYSIS; GEARS; INTELLIGENT SYSTEMS; MACHINERY; NEURAL NETWORKS; WAVELET TRANSFORMS;

CLASSIFICATION ACCURACY; DATA FUSION METHODS; FEATURE LEVEL FUSION; FEATURE-LEVEL FUSIONS; PLANETARY GEARBOXES; STATISTICAL FEATURES; TIME FREQUENCY DOMAIN; TIME-DOMAIN SIGNAL;

VIBRATIONS (MECHANICAL);

EID: 84975797385     PISSN: 13542575     EISSN: 17544904     Source Type: Journal    
DOI: 10.1784/insi.2012.55.6.323     Document Type: Article

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