基于堆叠稀疏自编码器的多缸喷油器堵塞定位算法

The quality of the fuel injection system directly affects the working process and performance of diesel engines. The traditional fault diagnosis methods are difficult to accurately locate the faulty injectors when the blocking faults occur in different injectors of multi-cylinder engines with varying degrees of fault. A fault location algorithm based on stacked sparse autoencoder (SSAE) is proposed. The deep features of rail pressure signals are extracted by SSAE when the fuel injectors at different positions experience the blocking faults, and softmax network is used to locate the faulty injectors. The influence of algorithm hyperparameters on algorithm accuracy is studied by takin one-dimensional rail pressure signal as input and faulty injector position as output. The final results indicate that this algorithm can accurately locate the fuel injector with blocking faults, and the locating accuracy is not affected by the degree of blockage. The fault diagnosis accuracy can reach 96. 7% .