An intelligent system for faulty-bearing detection based on vibration spectra

JVC/Journal of Vibration and Control

Volumn 17, Issue 6, 2011, Pages 931-942

  Marichal, G N ^a   Artes M ^b   Garcia Prada J C ^c  

^a UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

^b UNIVERSIDAD DE LA LAGUNA   (Spain)

^c UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

ANFIS; classification; Condition monitoring; fuzzy logic; neural networks; neuro fuzzy; vibration

Indexed keywords

ANFIS; ARTIFICIAL INTELLIGENT; CLASSIFICATION; CLASSIFICATION SYSTEM; FAULTY BEARINGS; FREQUENCY DOMAINS; MEASUREMENT EQUIPMENT; NEURO-FUZZY; NEUROFUZZY SYSTEM; ROLLING BEARINGS; SELECTION PROCESS; SPECTRAL DATA; VIBRATION; VIBRATION SIGNAL; VIBRATION SPECTRA;

BEARINGS (MACHINE PARTS); BEARINGS (STRUCTURAL); CONDITION MONITORING; FUZZY NEURAL NETWORKS; FUZZY SETS; INSTRUMENTS; INTELLIGENT SYSTEMS; LEARNING ALGORITHMS; SIGNAL DETECTION;

FUZZY LOGIC;

EID: 79955695788     PISSN: 10775463     EISSN: 17412986     Source Type: Journal    
DOI: 10.1177/1077546310366264     Document Type: Article

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