Open AccessRadial basis function neural network in fault detection of automotive engines
Author(s) -
Adnan Hamad,
Dingli Yu,
JB Gomm,
Mahavir S Sangha
Publication year - 2011
Publication title -
international journal of engineering science and technology
Language(s) - English
Resource type - Journals
ISSN - 2141-2839
DOI - 10.4314/ijest.v2i10.64007
Subject(s) - crankshaft , fault detection and isolation , automotive engine , inlet manifold , residual , artificial neural network , fault (geology) , actuator , control theory (sociology) , radial basis function , benchmark (surveying) , matlab , automotive engineering , computer science , engineering , algorithm , internal combustion engine , artificial intelligence , mechanical engineering , control (management) , geodesy , seismology , geology , geography , operating system
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