3D fluid-structure modelling and vibration analysis for fault diagnosis of Francis turbine using multiple ANN and multiple ANFIS

Mechanical Systems and Signal Processing

Volumn 34, Issue 1-2, 2013, Pages 259-276

  Saeed, R A ^a   Galybin, A N ^a,b   Popov, V ^a  

^a WESSEX INSTITUTE OF TECHNOLOGY   (United Kingdom)

^b Institute of Physics of Earth   (Russian Federation)

Author keywords

Fluid structure interaction; Francis turbines runner; Frequency response functions; Multiple adaptive neuro fuzzy inference system; Multiple artificial neural networks; Vibration based damage detection

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; DATA SETS; FLUID-STRUCTURES; FREQUENCY RESPONSE FUNCTIONS; INPUT DATAS; NUMERICAL APPROACHES; OPERATING CONDITION; OPERATING LOADS; SIZE AND POSITION; TURBINE RUNNER; VIBRATION-BASED DAMAGE DETECTION; Z-DIRECTIONS;

CONDITION MONITORING; FREQUENCY RESPONSE; FUZZY SYSTEMS; NEURAL NETWORKS; NUMERICAL ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; TRACKING (POSITION); VIBRATION ANALYSIS;

FRANCIS TURBINES;

EID: 84870239180     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2012.08.004     Document Type: Article

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