Condition-based monitoring system for rolling element bearing using a generic multi-layer perceptron

JVC/Journal of Vibration and Control

Volumn 21, Issue 16, 2015, Pages 3456-3464

  De Almeida, Luis F ^a   Bizarria, José W P ^a   Bizarria, Francisco C P ^a   Mathias, Mauro H ^b  

^a UNIVERSITY OF TAUBATÉ   (Brazil)

^b SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

Artificial Neural Network; Condition Based Monitoring; Multi Layer Perceptron; vibration monitoring

Indexed keywords

CONDITION MONITORING; COST EFFECTIVENESS; DAMAGE DETECTION; FAULT DETECTION; NETWORK ARCHITECTURE; NEURAL NETWORKS; ROLLER BEARINGS; VIBRATION MEASUREMENT;

CONDITION-BASED MONITORING; FAULT IDENTIFICATIONS; MECHANICAL COMPONENTS; MONITORING TECHNIQUES; MULTI LAYER PERCEPTRON; PROPOSED ARCHITECTURES; ROLLING ELEMENT BEARING; VIBRATION MONITORING;

MULTILAYER NEURAL NETWORKS;

EID: 84947968205     PISSN: 10775463     EISSN: 17412986     Source Type: Journal    
DOI: 10.1177/1077546314524260     Document Type: Article

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