Reconstruction of in-cylinder pressure in a diesel engine from vibration signal using a RBF neural network model

SAE Technical Papers

Volumn , Issue , 2011, Pages

  Bizon, Katarzyna ^a   Continillo, Gaetano ^a   Mancaruso, Ezio ^b   Vaglieco, Bianca Maria ^b  

^a UNIVERSITY OF SANNIO   (Italy)

^b ISTITUTO MOTORI CNR   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; ENGINE CYLINDERS; MEAN SQUARE ERROR; RADIAL BASIS FUNCTION NETWORKS; REAL TIME CONTROL; SIGNAL RECONSTRUCTION; VEHICLES;

ENGINE OPERATING CONDITIONS; IN-CYLINDER PRESSURES; NETWORK PARAMETERS; NETWORK QUALITIES; PREDICTION MODEL; PRODUCTION VEHICLES; RADIAL BASIS FUNCTION(RBF); RBF NEURAL NETWORK;

DIESEL ENGINES;

EID: 85072493920     PISSN: 01487191     EISSN: 26883627     Source Type: Journal    
DOI: 10.4271/2011-24-0161     Document Type: Conference Paper

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