Investigating the relative contribution of operational parameters on performance and emissions of a common-rail diesel engine using neural network

Fuel

Volumn 125, Issue , 2014, Pages 116-128

  Nikzadfar, Kamyar ^a   Shamekhi, Amir H ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Diesel engine; Diesel engine emissions; Input contribution ranking; Perturbation sensitivity analysis

Indexed keywords

BRAKE SPECIFIC FUEL CONSUMPTION; DIESEL ENGINE EMISSIONS; EXHAUST GAS RECIRCULATION RATES; INLET MANIFOLD PRESSURE; INPUT CONTRIBUTION RANKING; LOW-DISPERSION SEQUENCES; OPERATIONAL PARAMETERS; PERFORMANCE AND EMISSIONS;

ACTUATORS; ATMOSPHERIC PRESSURE; BRAKES; ENGINES; NEURAL NETWORKS; STATISTICAL METHODS;

DIESEL ENGINES;

EID: 84897743896     PISSN: 00162361     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fuel.2014.02.021     Document Type: Article

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