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The theory of virtual instrument technology and artificial neural network are combined in this paper, The fuel pressure wave in the high pressure oil pipe is measured by the series connection type pressure sensor, The characteristics of fuel pressure fluctuation in high pressure fuel pipe of diesel engine are analyzed after extracting the fault feature, The typical faults of the fuel injector are...
Ship diesel engine's structure is complex, and its fault has high coupling. For this reason, we study ship diesel engine fault diagnosis from two aspects. First of all, we divided ship diesel engine system into four parts according its basic structure and fault features, the fuel system, the lubrication system, the intake and exhaust system and the cooling system, and then analyzed the fault features...
The fault diagnosis of mechanical system has become research focus recent years. General procedure of fault diagnosis includes monitoring working condition, collecting noise and fault signal, procuring typical fault sample characteristics, and making decision. However, it is hard to select suitable signal and acquire eigenvalue. Vibration intensity is a typical and effective eigenvalue in vibration...
According to the problem of small samples and nonlinear feature in fault diagnosis of marine diesel engine, comprehensively using the methods of grey relational analysis and kernel fuzzy c-means clustering, a method solving fault diagnosis of marine diesel engine is proposed. Firstly, kernel fuzzy c-means clustering was made on historical fault dataset. Secondly, the preliminary fault diagnosis was...
Back-Propagation algorithm is one of the most popular algorithms in neural network. But it converges slowly, easily falling into local minima. This paper presents an improved BP algorithm, which can adjust learning rate using golden section method. Based on the algorithm, a diesel engine fault diagnosis system is designed. The simulation results indicate that the algorithm has much faster learning...
Considering the drawbacks of regular maintenance, online state inspection based on vibration analysis is adopted to diagnose the locomotive working state, which can dramatically improve the maintaining efficiency as well as decrease the phenomena of over maintenance or lack of maintenance. Cylinder vibration general curve is acquired. Fault diagnosis method is researched by analyzing the curve and...
In order to avoid the engine misfire, the misfire process of diesel engine was discussed with the method of crankshaft speed fluctuations. Based on the information synergetic theory, the misfire rate forecasting model of the engine was established and the engine misfire malfunction was inspected. The misfire diagnostic strategy of the diesel engine was put forward by the parameters on the rotate speed...
Measured the instantaneous speed of diesel engine and analyzed the mechanism of fault diagnosis with speed signal. Processed the speed signal with method of spectrum analysis and complexity analysis and analyzed the change law of speed in condition of mis-cylinder. Calculated [K,C] complexity of speed signal and got the features of mis-cylinder fault. Set up a BP neural network to diagnose mis-cylinder...
The BP algorithm and the theory of the artificial neural network are applied in the research of the fault diagnosis of diesel engine fuel injection system. Through study on the diesel engine fuel injection system's work characteristics and the vibration signal characteristic parameter, gives the method and the step of gathering the vibration signal, set the parameter of BP neural network reasonably,...
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