A flexible algorithm for fault diagnosis in a centrifugal pump with corrupted data and noise based on ANN and support vector machine with hyper-parameters optimization

Applied Soft Computing Journal

Volumn 13, Issue 3, 2013, Pages 1478-1485

  Azadeh, A ^a   Saberi, M ^b   Kazem, A ^c   Ebrahimipour, V ^a   Nourmohammadzadeh, A ^a   Saberi, Z ^d  

^a UNIVERSITY OF TEHRAN   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c TAFRESH UNIVERSITY   (Iran)

^d AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

ANN; Centrifugal pump; Diagnosis; GA; Noisy condition; Optimization; PSO; Support vector machine hyper parameters

Indexed keywords

CENTRIFUGAL PUMPS; CONDITION MONITORING; DEEP NEURAL NETWORKS; DIAGNOSIS; FAILURE ANALYSIS; GALLIUM; GENETIC ALGORITHMS; MACHINERY; NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); PUMPS; STATIC VAR COMPENSATORS; SUPPORT VECTOR MACHINES; VECTORS;

DISCHARGE PRESSURES; FAULT DETECTION AND DIAGNOSIS; FAULT DIAGNOSIS OF ROTATING MACHINERIES; HYPER-PARAMETER; INTEGRATED ALGORITHM; NOISY CONDITIONS; SUCTION PRESSURES; SUPPORT VECTOR CLASSIFICATION;

FAULT DETECTION;

EID: 84881663866     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.06.020     Document Type: Article

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