Using multi-sensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cell

Information Fusion

Volumn 18, Issue 1, 2014, Pages 1-8

  Safizadeh, M S ^a   Latifi, S K ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Accelerometer; Bearing diagnosis; Load cell; Multiple sensor fusion; Pattern recognition

Indexed keywords

CONDITION-BASED MONITORING; K-NEAREST NEIGHBOR CLASSIFIERS (KNN); LOAD CELLS; MULTIPLE SENSOR FUSION; MULTISENSOR DATA FUSION; ROLLING ELEMENT BEARING; TIME AND FREQUENCY DOMAINS; VIBRATION FAULT DIAGNOSIS;

ACCELEROMETERS; BALL BEARINGS; FEATURE EXTRACTION; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SENSORS;

SIGNAL DETECTION;

EID: 84887493381     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2013.10.002     Document Type: Article

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