基于火焰图像特性的神经网络诊断系统研究

Study on Neural Network Diagnosis System Based on Characteristics of Flame Image

该文运用计算机数字图像处理技术，对气体火焰和煤粉火焰的图像特性进行了试验与理论研究．在此基础上，运用现代人工神经网络智能理论，提出并建立了燃烧火焰状态的图像识别方法，开发出一套具有实用价值的火焰实时诊断识别系统．

The image characteristics of gas flame and pulverized coal flame is studied experimentally and theoretically by using computer digital image processing technology. Based on flame characteristic extraction, the theory of neural network is applied to study the flame recognition. The method of flame combustion recognition is proposed and a practical intelligent flame diagnosis system is developed.