Vibration condition monitoring of planetary gears based on decision level data fusion using Dempster- Shafer theory of evidence

Journal of Vibroengineering

Volumn 14, Issue 2, 2012, Pages 838-851

  Khazaee, Meghdad ^a   Ahmadi, Hojat ^a   Omid, Mahmoud ^a   Moosavian, Ashkan ^a   Khazaee, Majid ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Data fusion; Dempster Shafer theory; Support vector machine; Vibration condition monitoring

Indexed keywords

CONDITION MONITORING; DATA FUSION; DECISION THEORY; FREQUENCY DOMAIN ANALYSIS; NEURAL NETWORKS; PROBABILISTIC LOGICS;

BASIC PROBABILITY ASSIGNMENT; CLASSIFICATION ACCURACY; CLASSIFIER FUSION; D S EVIDENCE THEORY; DATA FUSION METHODS; DECISION FUSION; DECISION LEVEL FUSION; DECISION LEVELS; DEMPSTER-SHAFER; DEMPSTER-SHAFER EVIDENCE THEORY; DEMPSTER-SHAFER THEORY; DIAGNOSIS SUBSYSTEM; DS THEORY; HIGH CONFIDENCE; INDUSTRIAL MACHINES; INPUT VALUES; MECHANICAL SYSTEMS; OUTPUT VALUES; PLANETARY GEARBOXES; PLANETARY GEARS; STATISTICAL FEATURES; TIME DOMAIN; TIME FREQUENCY DOMAIN; VIBRATION SIGNAL;

SUPPORT VECTOR MACHINES;

EID: 84975883514     PISSN: 13928716     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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