应用科学学报 ›› 1998, Vol. 16 ›› Issue (1): 81-87.

• 论文 • 上一篇    下一篇

基于火焰图像特性的神经网络诊断系统研究

杨宏, 唐晓军, 刘勇, 顾凡, 徐益谦   

  1. 东南大学
  • 收稿日期:1996-05-16 修回日期:1996-09-19 出版日期:1998-03-31 发布日期:1998-03-31
  • 作者简介:杨宏:博士生,东南大学热能工程研究所,南京 210096
  • 基金资助:
    国家自然科学基金

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

YANG HONGMIN, TANG XIAOJUN, LIU YONG, GU FAN, XU YIQIAN   

  1. The Thermal Energy Engineering Institute, Southeast University, Nanjing 210096
  • Received:1996-05-16 Revised:1996-09-19 Online:1998-03-31 Published:1998-03-31

摘要: 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.

关键词: 人工神经网络, 图像处理, 火焰诊断

Abstract: 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.

Key words: artificial neural network, flame diagnosis, image processing