Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine

Expert Systems with Applications

Volumn 38, Issue 4, 2011, Pages 3819-3826

  Saimurugan, M ^a   Ramachandran, K I ^a   Sugumaran, V ^b   Sakthivel, N R ^a  

^a AMRITA UNIVERSITY   (India)

^b SRM INSTITUTE OF SCIENCE AND TECHNOLOGY   (India)

Author keywords

Decision tree; Fault diagnosis; Shaft and bearings; Support vector machine

Indexed keywords

CRITICAL COMPONENT; DECISION-TREE ALGORITHM; FAULT CLASSIFICATION ACCURACY; FAULT DIAGNOSIS; FAULTY BEARINGS; FAULTY CONDITION; KERNEL FUNCTION; MACHINE ELEMENT; MECHANICAL SYSTEMS; MULTICOMPONENTS; PROMINENT FEATURES; SHAFT AND BEARINGS; STATISTICAL FEATURES; TRAINING AND TESTING; VIBRATION SIGNAL;

BEARINGS (STRUCTURAL); DECISION TREES; MACHINERY; MECHANICS; SUPPORT VECTOR MACHINES; VECTORS; VIBRATIONS (MECHANICAL);

FEATURE EXTRACTION;

EID: 78650707295     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.042     Document Type: Article

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