Design and Study on the Intelligent Fault Diagnosis System of Diesel Engine
Feng Ming Li, Xiao Hong Wang · Applied Mechanics and Materials · 2013
Based on modern measure technology, wavelet transform and neural networks, the system of diesel fuel fault diagnosis is designed. Wavelet packet power and RBF networks are combined together to diagnose the fuel oil system. The master system is developed with Visual C++ and the slave system is designed based on 89C52. The two systems communicate via the RS-232 serial communication. The system is applied in practice and performs well.