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柴油机喷油器故障直接影响到燃油的喷射质量,导致燃烧过程恶化,影响柴油机的性能指标。常规的模糊神经网络中,模糊运算往往采用静态的、局部优化运算方法,往往存在技术上的难点,为此提出了一种基于补偿模糊神经网络的智能诊断系统。该系统将神经网络和补偿模糊逻辑相结合,采用动态、全局优化的运算,充分利用了相互间的优点,使网络更适应、更优化,加快训练速度。运用到柴油机燃油喷射系统故障中,取得了较好的效果。
Diesel injector fault directly affects the quality of fuel injection, leading to deterioration of the combustion process, affecting the performance of diesel engine specifications. In the conventional fuzzy neural network, the fuzzy operation often adopts the static and local optimization methods, which often have technical difficulties. Therefore, an intelligent diagnosis system based on the compensation fuzzy neural network is proposed. The system combines neural network and compensation fuzzy logic, and adopts dynamic and global optimization operations to make full use of the advantages of each other so that the network can be more adapted and optimized, and the training speed can be accelerated. Apply to the diesel fuel injection system failure, and achieved good results.