Engine Fault Diagnosis Based On Bp Neural Network Research

The diesel engine is the heart of many equipment and the military equipment, so it is important to ensure its well working condition and maintains its whole working efficiency. At present, diesel engine fault diagnosis most use the method of gantry testing, but this method need to keep long time and huge structure and high cost, so it is difficulty in promoting the application. Moreover, as such complex mechanical multi-state excitation and operation mechanism and time-varying and other factors enables this research direction to have the suitable difficulty.Based on the analysis of the domestic and foreign research about diesel engine fault diagnosis at the current status, it gives a design proposal in this paper to carry on the diesel engine fault diagnosis through the fuel pressure signal.The fuel injection system is part of the heart of diesel engine. Its work quality has the directly influence about the diesel engine work process and entire machine performance, and it decides the efficiency and the reliability about diesel engine. Meanwhile, it is the main diesel engine failure source. The state information of fuel injection system is mainly manifested in the high-pressure oil pipe profile, When somewhere breaks down, it must causes the original feed condition to change inevitably, and the pressure and speed of the fuel oil flow must be changed corresponding and so on. All of reflections will lead to change the parameters and shapes of the pressure waveform.In this paper, it proposed the method of diesel engine fault diagnosis is: first, determines the fuel pressure signal using the sensor; second, draws up the fuel pressure profile according to the fuel pressure signal, and withdraws the characteristic parameter; third, treats these...