Abstract
A diesel engine fault diagnosis method based on GA-PNN (genetic algorithm-probabilistic neural network) is proposed in this paper, which aims at overcoming the existing shortcomings in traditional diesel engine fault diagnosis methods. Eight kinds of common fault are selected as standard faults identifications, including fuel supplying in different percentage and needle valve sticking, and eight characteristic values are chosen as fault diagnosis indexes, such as maximum pressure. The fault diagnose of diesel engine is conducted by method based on Probabilistic Neural Network and Genetic Algorithms. The testing simulation is completed with data provided by the North China institute of engine. Results show that the fault diagnosis method designed is valid, and compared to traditional methods, the method proposed has certain superiority, which is easy in operation and low in cost.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call