基于加权模糊优选理论的发动机磨粒智能识别

Wear Particle Intelligent Recognition Based on Weighted Fuzzy Optimization Theory

磨粒识别是实现发动机故障诊断和状态监测的关键环节;模糊优选理论应用于磨粒识别一般采用的都是均权模型。引进了一种模糊相对权重的概念,将其与模糊优选理论结合运用到铁谱分析的磨粒智能识别中,提出了一种新的基于加权模糊优选理论的磨粒识别方法,实际计算表明,该方法在发动机磨粒智能识别中取得了很好的识别效果。

Wear recognition is a key link in the engine condition monitoring and fault diagnosis. Based on the fuzzy theory, the fuzzy optimization model and the fuzzy relative weight were introduced. By combining them, a new concept of weighted fuzzy optimization model was proposed. A new method of wear recognition was introduced by using the new concept and it was proved available.